OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2944 Supervised Classification eucalyptus 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6334, kappa: 0.5316, kb_relative_information_score: 3681.5317, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6637, predictive_accuracy: 0.6404, prior_entropy: 2.2629, recall: 0.6404, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.7924, scimark_benchmark: 1301.2156, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6175, kappa: 0.5124, kb_relative_information_score: 3785.9677, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6341, predictive_accuracy: 0.6243, prior_entropy: 2.2629, recall: 0.6243, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.5521, kappa: 0.436, kb_relative_information_score: 2873.0377, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5642, predictive_accuracy: 0.569, prior_entropy: 2.2629, recall: 0.569, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.8333, scimark_benchmark: 1345.7582, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.6533, kappa: 0.556, kb_relative_information_score: 4134.9873, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6557, predictive_accuracy: 0.6546, prior_entropy: 2.2629, recall: 0.6546, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.7619, scimark_benchmark: 1327.2954, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.6334, kappa: 0.5316, kb_relative_information_score: 3681.5317, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6637, predictive_accuracy: 0.6404, prior_entropy: 2.2629, recall: 0.6404, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.7924, scimark_benchmark: 1331.2332, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6175, kappa: 0.5124, kb_relative_information_score: 3785.9677, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6341, predictive_accuracy: 0.6243, prior_entropy: 2.2629, recall: 0.6243, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, scimark_benchmark: 1168.3268, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.5434, kappa: 0.4245, kb_relative_information_score: 2848.4054, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5537, predictive_accuracy: 0.5601, prior_entropy: 2.2629, recall: 0.5601, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.8376, scimark_benchmark: 1348.7888, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.5608, kappa: 0.4335, kb_relative_information_score: 3594.2129, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5879, predictive_accuracy: 0.5519, prior_entropy: 2.2629, recall: 0.5519, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9373, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.602, kappa: 0.4901, kb_relative_information_score: 3938.2585, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6032, predictive_accuracy: 0.6037, prior_entropy: 2.2629, recall: 0.6037, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.8683, scimark_benchmark: 1341.4232, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6175, kappa: 0.5124, kb_relative_information_score: 3785.9677, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6341, predictive_accuracy: 0.6243, prior_entropy: 2.2629, recall: 0.6243, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, scimark_benchmark: 904.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.2877, kappa: 0.0878, kb_relative_information_score: 1214.778, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.2923, predictive_accuracy: 0.2878, prior_entropy: 2.2629, recall: 0.2878, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5338, root_relative_squared_error: 1.3488, scimark_benchmark: 1449.4352, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.3488, kappa: 0.2997, kb_relative_information_score: 2293.9708, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.2757, predictive_accuracy: 0.4923, prior_entropy: 2.2629, recall: 0.4923, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8923, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.609, kappa: 0.501, kb_relative_information_score: 3889.4367, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6228, predictive_accuracy: 0.6149, prior_entropy: 2.2629, recall: 0.6149, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.8502, scimark_benchmark: 1347.388, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.4172, kappa: 0.3603, kb_relative_information_score: 2675.9291, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.3865, predictive_accuracy: 0.5284, prior_entropy: 2.2629, recall: 0.5284, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.86, scimark_benchmark: 1328.941, usercpu_time_millis: 1740, usercpu_time_millis_testing: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.6228, kappa: 0.5196, kb_relative_information_score: 4023.2473, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6238, predictive_accuracy: 0.628, prior_entropy: 2.2629, recall: 0.628, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8942, scimark_benchmark: 1308.3432, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.498, kappa: 0.3586, kb_relative_information_score: 3020.9849, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4986, predictive_accuracy: 0.4977, prior_entropy: 2.2629, recall: 0.4977, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0734, scimark_benchmark: 1316.7714, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.5172, kappa: 0.3801, kb_relative_information_score: 3139.7376, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5219, predictive_accuracy: 0.514, prior_entropy: 2.2629, recall: 0.514, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4393, root_relative_squared_error: 1.1101, scimark_benchmark: 1371.9645, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5172, kappa: 0.3801, kb_relative_information_score: 3150.8171, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5219, predictive_accuracy: 0.514, prior_entropy: 2.2629, recall: 0.514, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4409, root_relative_squared_error: 1.1142, scimark_benchmark: 1346.3935, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, f_measure: 0.131, kb_relative_information_score: 3.6034, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.0845, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.1989, kappa: 0.0899, kb_relative_information_score: 500.6261, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.3289, predictive_accuracy: 0.2982, prior_entropy: 2.2629, recall: 0.2982, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.9924, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6062, kappa: 0.5116, kb_relative_information_score: 3984.4952, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.614, predictive_accuracy: 0.6247, prior_entropy: 2.2629, recall: 0.6247, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.9791, scimark_benchmark: 1301.7387, usercpu_time_millis: 2730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.36, kappa: 0.3177, kb_relative_information_score: 2239.8975, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.2853, predictive_accuracy: 0.5053, prior_entropy: 2.2629, recall: 0.5053, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.9, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.5589, kappa: 0.4442, kb_relative_information_score: 2892.6261, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.5717, predictive_accuracy: 0.5753, prior_entropy: 2.2629, recall: 0.5753, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8306, scimark_benchmark: 909.1698, usercpu_time_millis: 760, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.6498, kappa: 0.5521, kb_relative_information_score: 4287.7256, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6498, predictive_accuracy: 0.6503, prior_entropy: 2.2629, recall: 0.6503, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, scimark_benchmark: 1329.8847, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.6574, kappa: 0.5614, kb_relative_information_score: 4273.2631, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6579, predictive_accuracy: 0.6583, prior_entropy: 2.2629, recall: 0.6583, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.7912, scimark_benchmark: 1316.5986, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.6476, kappa: 0.5483, kb_relative_information_score: 3956.3451, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6527, predictive_accuracy: 0.6493, prior_entropy: 2.2629, recall: 0.6493, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.7642, scimark_benchmark: 1337.6765, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.4471, kappa: 0.2959, kb_relative_information_score: 2633.3147, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4467, predictive_accuracy: 0.4575, prior_entropy: 2.2629, recall: 0.4575, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.926, scimark_benchmark: 1350.4702, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4492, kappa: 0.2981, kb_relative_information_score: 2630.6613, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4483, predictive_accuracy: 0.4583, prior_entropy: 2.2629, recall: 0.4583, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9267, scimark_benchmark: 1327.9121, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.4536, kappa: 0.3041, kb_relative_information_score: 2623.9951, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4517, predictive_accuracy: 0.4624, prior_entropy: 2.2629, recall: 0.4624, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9348, scimark_benchmark: 1334.4761, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.5962, kappa: 0.4831, kb_relative_information_score: 3938.6312, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.597, predictive_accuracy: 0.5978, prior_entropy: 2.2629, recall: 0.5978, relative_absolute_error: 0.5389, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8665, scimark_benchmark: 1323.8098, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.498, kappa: 0.3586, kb_relative_information_score: 3020.9849, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4986, predictive_accuracy: 0.4977, prior_entropy: 2.2629, recall: 0.4977, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.0734, scimark_benchmark: 1319.6463, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.6175, kappa: 0.5124, kb_relative_information_score: 3785.9677, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6341, predictive_accuracy: 0.6243, prior_entropy: 2.2629, recall: 0.6243, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163, scimark_benchmark: 1326.014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.5529, kappa: 0.4234, kb_relative_information_score: 3523.5861, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6178, predictive_accuracy: 0.55, prior_entropy: 2.2629, recall: 0.55, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9422, scimark_benchmark: 986.8456, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.5491, kappa: 0.419, kb_relative_information_score: 3520.908, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6205, predictive_accuracy: 0.5463, prior_entropy: 2.2629, recall: 0.5463, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9431, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.4802, kappa: 0.4129, kb_relative_information_score: 2223.309, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.4512, predictive_accuracy: 0.5599, prior_entropy: 2.2629, recall: 0.5599, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.8539, scimark_benchmark: 937.5996, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.6589, kappa: 0.5638, kb_relative_information_score: 4322.7219, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6591, predictive_accuracy: 0.6595, prior_entropy: 2.2629, recall: 0.6595, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.8004, scimark_benchmark: 1323.237, usercpu_time_millis: 1160, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.5185, kappa: 0.3819, kb_relative_information_score: 1415.6248, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.561, predictive_accuracy: 0.506, prior_entropy: 2.2629, recall: 0.506, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9323, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8634, f_measure: 0.5903, kappa: 0.4724, kb_relative_information_score: 3162.2568, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6095, predictive_accuracy: 0.5931, prior_entropy: 2.2629, recall: 0.5931, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.8146, scimark_benchmark: 1329.0992, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, build_cpu_time: 12.6656, build_memory: 247737438.6272, f_measure: 0.6556, kappa: 0.5636, kb_relative_information_score: 3844.3655, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6657, predictive_accuracy: 0.6645, prior_entropy: 2.2629, recall: 0.6645, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.7536, scimark_benchmark: 941.0685,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 2.0936, build_memory: 334055222.3598, f_measure: 0.6546, kappa: 0.5582, kb_relative_information_score: 4135.7766, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6604, predictive_accuracy: 0.6575, prior_entropy: 2.2629, recall: 0.6575, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.7449, scimark_benchmark: 921.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, build_cpu_time: 1.0064, build_memory: 676292235.7522, f_measure: 0.6529, kappa: 0.5561, kb_relative_information_score: 4133.7709, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6579, predictive_accuracy: 0.6557, prior_entropy: 2.2629, recall: 0.6557, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7465, scimark_benchmark: 930.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, build_cpu_time: 1.002, build_memory: 190030432.6576, f_measure: 0.6529, kappa: 0.5561, kb_relative_information_score: 4133.7709, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6579, predictive_accuracy: 0.6557, prior_entropy: 2.2629, recall: 0.6557, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.7465, scimark_benchmark: 936.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 0.6226, build_memory: 3598849517.1435, f_measure: 0.6506, kappa: 0.5529, kb_relative_information_score: 4131.3955, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6556, predictive_accuracy: 0.6531, prior_entropy: 2.2629, recall: 0.6531, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.7485, scimark_benchmark: 938.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.2522, build_memory: 2435093790.7511, f_measure: 0.651, kappa: 0.5533, kb_relative_information_score: 4117.149, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3132, number_of_instances: 7360, precision: 0.6551, predictive_accuracy: 0.6533, prior_entropy: 2.2629, recall: 0.6533, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.754, scimark_benchmark: 933.652,

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