Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 4202 Supervised Classification grub-damage 179 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.4305, kappa: 0.2217, kb_relative_information_score: 416.454, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4333, predictive_accuracy: 0.431, prior_entropy: 1.9281, recall: 0.431, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0638, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.3832, kappa: 0.1541, kb_relative_information_score: 345.4711, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3846, predictive_accuracy: 0.3884, prior_entropy: 1.9281, recall: 0.3884, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4334, root_relative_squared_error: 1.0166, scimark_benchmark: 1368.9272, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.3828, kappa: 0.1535, kb_relative_information_score: 343.9169, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.384, predictive_accuracy: 0.3858, prior_entropy: 1.9281, recall: 0.3858, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0214, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.4525, kappa: 0.2466, kb_relative_information_score: 491.7862, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4516, predictive_accuracy: 0.4548, prior_entropy: 1.9281, recall: 0.4548, relative_absolute_error: 0.7493, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.2246, scimark_benchmark: 1301.1661, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.4485, kappa: 0.2409, kb_relative_information_score: 393.3211, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4515, predictive_accuracy: 0.4574, prior_entropy: 1.9281, recall: 0.4574, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4539, root_relative_squared_error: 1.0647, scimark_benchmark: 1350.073, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.3714, kappa: 0.1377, kb_relative_information_score: 296.6259, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3685, predictive_accuracy: 0.3761, prior_entropy: 1.9281, recall: 0.3761, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.449, root_relative_squared_error: 1.0533, scimark_benchmark: 916.6405, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.4033, kappa: 0.1825, kb_relative_information_score: 283.7596, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.404, predictive_accuracy: 0.4161, prior_entropy: 1.9281, recall: 0.4161, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9585, scimark_benchmark: 1352.2099, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.4065, kappa: 0.1861, kb_relative_information_score: 286.8038, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4067, predictive_accuracy: 0.4181, prior_entropy: 1.9281, recall: 0.4181, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.9585, scimark_benchmark: 854.6529, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.3808, kappa: 0.1503, kb_relative_information_score: 345.1311, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3819, predictive_accuracy: 0.3852, prior_entropy: 1.9281, recall: 0.3852, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.434, root_relative_squared_error: 1.0179, scimark_benchmark: 1264.0609, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.4305, kappa: 0.2217, kb_relative_information_score: 416.454, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4333, predictive_accuracy: 0.431, prior_entropy: 1.9281, recall: 0.431, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0638, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.479, kappa: 0.2937, kb_relative_information_score: 546.7838, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4791, predictive_accuracy: 0.4832, prior_entropy: 1.9281, recall: 0.4832, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.979, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.4489, kappa: 0.2462, kb_relative_information_score: 439.3615, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.446, predictive_accuracy: 0.4529, prior_entropy: 1.9281, recall: 0.4529, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.431, root_relative_squared_error: 1.011, scimark_benchmark: 1349.7981, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.3034, kappa: 0.0896, kb_relative_information_score: 276.7071, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3531, predictive_accuracy: 0.3548, prior_entropy: 1.9281, recall: 0.3548, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.568, root_relative_squared_error: 1.3322, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.3152, kappa: 0.1543, kb_relative_information_score: 373.2965, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3489, predictive_accuracy: 0.3929, prior_entropy: 1.9281, recall: 0.3929, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.1652, scimark_benchmark: 1368.9272, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.3556, kappa: 0.1163, kb_relative_information_score: 361.6485, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3541, predictive_accuracy: 0.3639, prior_entropy: 1.9281, recall: 0.3639, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.474, root_relative_squared_error: 1.1119, scimark_benchmark: 1334.4761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.4129, kappa: 0.1991, kb_relative_information_score: 288.7096, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4118, predictive_accuracy: 0.4284, prior_entropy: 1.9281, recall: 0.4284, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.9588, scimark_benchmark: 1316.5986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.4501, kappa: 0.2428, kb_relative_information_score: 440.8849, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4498, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.096, scimark_benchmark: 1314.7093, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.409, kappa: 0.1909, kb_relative_information_score: 295.8785, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4087, predictive_accuracy: 0.4219, prior_entropy: 1.9281, recall: 0.4219, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9627, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.3863, kappa: 0.1591, kb_relative_information_score: 337.7228, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3869, predictive_accuracy: 0.3948, prior_entropy: 1.9281, recall: 0.3948, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0703, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.4281, kappa: 0.2506, kb_relative_information_score: 251.875, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4544, predictive_accuracy: 0.4723, prior_entropy: 1.9281, recall: 0.4723, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.9543, scimark_benchmark: 1346.4887, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.393, kappa: 0.1676, kb_relative_information_score: 348.2265, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3919, predictive_accuracy: 0.3961, prior_entropy: 1.9281, recall: 0.3961, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5409, root_relative_squared_error: 1.2687, scimark_benchmark: 1327.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.3731, kappa: 0.1406, kb_relative_information_score: 334.9662, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3725, predictive_accuracy: 0.3748, prior_entropy: 1.9281, recall: 0.3748, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.3114, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4732, f_measure: 0.1519, kb_relative_information_score: 1.5109, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.0999, predictive_accuracy: 0.3161, prior_entropy: 1.9281, recall: 0.3161, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0003, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.3612, kappa: 0.1812, kb_relative_information_score: 61.9114, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4225, predictive_accuracy: 0.4277, prior_entropy: 1.9281, recall: 0.4277, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9991, scimark_benchmark: 1345.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.2836, kappa: 0.0796, kb_relative_information_score: 119.1122, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2542, predictive_accuracy: 0.3568, prior_entropy: 1.9281, recall: 0.3568, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0014, scimark_benchmark: 1176.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.292, kappa: 0.0919, kb_relative_information_score: 146.0265, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3076, predictive_accuracy: 0.3619, prior_entropy: 1.9281, recall: 0.3619, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.0211, scimark_benchmark: 1340.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.3714, kappa: 0.1377, kb_relative_information_score: 296.6259, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3685, predictive_accuracy: 0.3761, prior_entropy: 1.9281, recall: 0.3761, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.449, root_relative_squared_error: 1.0533, scimark_benchmark: 1288.1375, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.4012, kappa: 0.1795, kb_relative_information_score: 286.5287, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4017, predictive_accuracy: 0.4135, prior_entropy: 1.9281, recall: 0.4135, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.9602, scimark_benchmark: 1312.0581, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.4409, kappa: 0.2277, kb_relative_information_score: 425.0127, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4415, predictive_accuracy: 0.4413, prior_entropy: 1.9281, recall: 0.4413, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.0287, scimark_benchmark: 855.8522, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.4483, kappa: 0.2387, kb_relative_information_score: 413.0226, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4484, predictive_accuracy: 0.449, prior_entropy: 1.9281, recall: 0.449, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.9957, scimark_benchmark: 1311.1837, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.454, kappa: 0.2477, kb_relative_information_score: 392.9807, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4534, predictive_accuracy: 0.4555, prior_entropy: 1.9281, recall: 0.4555, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.414, root_relative_squared_error: 0.971, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.3807, kappa: 0.1505, kb_relative_information_score: 344.0293, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.381, predictive_accuracy: 0.3839, prior_entropy: 1.9281, recall: 0.3839, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.0259, scimark_benchmark: 1310.6407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.3828, kappa: 0.2151, kb_relative_information_score: 457.6292, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3696, predictive_accuracy: 0.4445, prior_entropy: 1.9281, recall: 0.4445, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.527, root_relative_squared_error: 1.2362, scimark_benchmark: 1449.4352, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.4305, kappa: 0.2217, kb_relative_information_score: 416.454, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4333, predictive_accuracy: 0.431, prior_entropy: 1.9281, recall: 0.431, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4535, root_relative_squared_error: 1.0638, scimark_benchmark: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.3867, kappa: 0.1567, kb_relative_information_score: 352.5351, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3843, predictive_accuracy: 0.391, prior_entropy: 1.9281, recall: 0.391, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.523, root_relative_squared_error: 1.2267, scimark_benchmark: 1319.4832, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.4093, kappa: 0.1849, kb_relative_information_score: 406.3914, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4094, predictive_accuracy: 0.4103, prior_entropy: 1.9281, recall: 0.4103, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.1671, scimark_benchmark: 1349.6645, usercpu_time_millis: 1990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.3863, kappa: 0.1591, kb_relative_information_score: 337.7228, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3869, predictive_accuracy: 0.3948, prior_entropy: 1.9281, recall: 0.3948, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0703, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.4797, kappa: 0.2925, kb_relative_information_score: 547.3651, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4815, predictive_accuracy: 0.4819, prior_entropy: 1.9281, recall: 0.4819, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.9767, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.4333, kappa: 0.2222, kb_relative_information_score: 434.2036, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4344, predictive_accuracy: 0.4329, prior_entropy: 1.9281, recall: 0.4329, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.1209, scimark_benchmark: 1331.482, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.4631, kappa: 0.2816, kb_relative_information_score: 159.3828, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4728, predictive_accuracy: 0.469, prior_entropy: 1.9281, recall: 0.469, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9921, scimark_benchmark: 1341.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.4649, kappa: 0.2681, kb_relative_information_score: 525.1441, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4644, predictive_accuracy: 0.4684, prior_entropy: 1.9281, recall: 0.4684, relative_absolute_error: 0.7307, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.2093, scimark_benchmark: 1348.8402, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.3475, kappa: 0.1349, kb_relative_information_score: 196.3817, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.345, predictive_accuracy: 0.3865, prior_entropy: 1.9281, recall: 0.3865, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.9835, scimark_benchmark: 1335.693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.4065, kappa: 0.1857, kb_relative_information_score: 394.7979, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4064, predictive_accuracy: 0.4071, prior_entropy: 1.9281, recall: 0.4071, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5043, root_relative_squared_error: 1.183, scimark_benchmark: 915.6729, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.4353, kappa: 0.2218, kb_relative_information_score: 430.2445, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.435, predictive_accuracy: 0.4361, prior_entropy: 1.9281, recall: 0.4361, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.0665, scimark_benchmark: 1344.1146, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.3783, kappa: 0.1459, kb_relative_information_score: 341.1156, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3778, predictive_accuracy: 0.3813, prior_entropy: 1.9281, recall: 0.3813, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.0339, scimark_benchmark: 1321.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.4799, kappa: 0.2952, kb_relative_information_score: 551.9228, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.479, predictive_accuracy: 0.4852, prior_entropy: 1.9281, recall: 0.4852, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.9769, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.3768, kappa: 0.1469, kb_relative_information_score: 360.8802, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3747, predictive_accuracy: 0.3806, prior_entropy: 1.9281, recall: 0.3806, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.0852, scimark_benchmark: 916.6405, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.3868, kappa: 0.1587, kb_relative_information_score: 348.2276, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3878, predictive_accuracy: 0.3942, prior_entropy: 1.9281, recall: 0.3942, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4556, root_relative_squared_error: 1.0686, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 1404.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.2675, kappa: 0.0499, kb_relative_information_score: 95.0931, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2339, predictive_accuracy: 0.3303, prior_entropy: 1.9281, recall: 0.3303, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0125, scimark_benchmark: 1321.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.4214, kappa: 0.2151, kb_relative_information_score: 403.8895, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4249, predictive_accuracy: 0.4406, prior_entropy: 1.9281, recall: 0.4406, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9859, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.415, kappa: 0.2033, kb_relative_information_score: 420.1375, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4234, predictive_accuracy: 0.4303, prior_entropy: 1.9281, recall: 0.4303, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4363, root_relative_squared_error: 1.0234, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.3122, kappa: 0.1586, kb_relative_information_score: 204.379, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.2668, predictive_accuracy: 0.42, prior_entropy: 1.9281, recall: 0.42, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.0164, scimark_benchmark: 1346.9602, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.4551, kappa: 0.2511, kb_relative_information_score: 338.0172, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4533, predictive_accuracy: 0.4594, prior_entropy: 1.9281, recall: 0.4594, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9702, scimark_benchmark: 1386.5717, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.4327, kappa: 0.2196, kb_relative_information_score: 355.1351, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4308, predictive_accuracy: 0.4355, prior_entropy: 1.9281, recall: 0.4355, relative_absolute_error: 0.864, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0067, scimark_benchmark: 1280.6952, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.4492, kappa: 0.2421, kb_relative_information_score: 484.3797, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4484, predictive_accuracy: 0.4516, prior_entropy: 1.9281, recall: 0.4516, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.2283, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.4872, kappa: 0.2973, kb_relative_information_score: 518.8554, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4896, predictive_accuracy: 0.4871, prior_entropy: 1.9281, recall: 0.4871, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.993, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.3748, kappa: 0.1392, kb_relative_information_score: 314.5196, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3736, predictive_accuracy: 0.3787, prior_entropy: 1.9281, recall: 0.3787, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4381, root_relative_squared_error: 1.0276, scimark_benchmark: 1330.0694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.3437, kappa: 0.0972, kb_relative_information_score: 267.0613, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3402, predictive_accuracy: 0.3497, prior_entropy: 1.9281, recall: 0.3497, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.545, root_relative_squared_error: 1.2784, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.4037, kappa: 0.1887, kb_relative_information_score: 347.4842, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4104, predictive_accuracy: 0.4155, prior_entropy: 1.9281, recall: 0.4155, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4368, root_relative_squared_error: 1.0245, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.4569, kappa: 0.2532, kb_relative_information_score: 359.1934, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4631, predictive_accuracy: 0.4671, prior_entropy: 1.9281, recall: 0.4671, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.0137, scimark_benchmark: 1321.9426, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.3929, kappa: 0.1633, kb_relative_information_score: 372.8603, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3926, predictive_accuracy: 0.3935, prior_entropy: 1.9281, recall: 0.3935, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.2916, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.3652, kappa: 0.1275, kb_relative_information_score: 343.4108, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3638, predictive_accuracy: 0.3684, prior_entropy: 1.9281, recall: 0.3684, relative_absolute_error: 0.8742, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0928, scimark_benchmark: 1501.4698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.4115, kappa: 0.1997, kb_relative_information_score: 425.5367, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.4199, predictive_accuracy: 0.4226, prior_entropy: 1.9281, recall: 0.4226, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.2604, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.3844, kappa: 0.1741, kb_relative_information_score: 392.3695, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3796, predictive_accuracy: 0.3968, prior_entropy: 1.9281, recall: 0.3968, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.2882, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4732, f_measure: 0.1519, kb_relative_information_score: 1.5109, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.0999, predictive_accuracy: 0.3161, prior_entropy: 1.9281, recall: 0.3161, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0003, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.3532, kappa: 0.1117, kb_relative_information_score: 350.9655, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3521, predictive_accuracy: 0.3587, prior_entropy: 1.9281, recall: 0.3587, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.1143, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, build_cpu_time: 0.4418, build_memory: 156787548.8465, f_measure: 0.3829, kappa: 0.169, kb_relative_information_score: 269.8751, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3727, predictive_accuracy: 0.4013, prior_entropy: 1.9281, recall: 0.4013, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.9718, scimark_benchmark: 943.3502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, build_cpu_time: 0.7882, build_memory: 265024235.1897, f_measure: 0.3822, kappa: 0.1714, kb_relative_information_score: 271.9904, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3695, predictive_accuracy: 0.4019, prior_entropy: 1.9281, recall: 0.4019, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.9699, scimark_benchmark: 927.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6542, build_cpu_time: 0.0651, build_memory: 228838189.0426, f_measure: 0.3621, kappa: 0.1246, kb_relative_information_score: 338.8922, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3614, predictive_accuracy: 0.3645, prior_entropy: 1.9281, recall: 0.3645, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.0285, scimark_benchmark: 932.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, build_cpu_time: 0.0493, build_memory: 1102551064.1858, f_measure: 0.3607, kappa: 0.1222, kb_relative_information_score: 339.4746, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3606, predictive_accuracy: 0.3626, prior_entropy: 1.9281, recall: 0.3626, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.0302, scimark_benchmark: 905.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, build_cpu_time: 0.0171, build_memory: 684984034.1729, f_measure: 0.3661, kappa: 0.1294, kb_relative_information_score: 338.4556, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3663, predictive_accuracy: 0.3677, prior_entropy: 1.9281, recall: 0.3677, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.0353, scimark_benchmark: 942.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.0096, build_memory: 983523689.5432, f_measure: 0.3785, kappa: 0.1468, kb_relative_information_score: 340.0423, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3787, predictive_accuracy: 0.3794, prior_entropy: 1.9281, recall: 0.3794, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.0431, scimark_benchmark: 937.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.0105, build_memory: 1681552798.4052, f_measure: 0.3785, kappa: 0.1468, kb_relative_information_score: 340.0423, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3787, predictive_accuracy: 0.3794, prior_entropy: 1.9281, recall: 0.3794, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.0431, scimark_benchmark: 944.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.0089, build_memory: 1118337897.631, f_measure: 0.3785, kappa: 0.1468, kb_relative_information_score: 340.0423, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.3638, number_of_instances: 1550, precision: 0.3787, predictive_accuracy: 0.3794, prior_entropy: 1.9281, recall: 0.3794, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4263, root_mean_squared_error: 0.4447, root_relative_squared_error: 1.0431, scimark_benchmark: 864.7704,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

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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