OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2125 Supervised Classification eucalyptus 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1326.8946, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5784, kappa: 0.4537, kb_relative_information_score: 119.0115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.611, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9286, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5784, kappa: 0.4537, kb_relative_information_score: 119.0115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.611, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9286, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.5784, kappa: 0.4537, kb_relative_information_score: 119.0115, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.611, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9286, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.568, kappa: 0.4508, kb_relative_information_score: 116.9489, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5684, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9285, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.6124, kappa: 0.5064, kb_relative_information_score: 131.3521, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6157, predictive_accuracy: 0.6157, prior_entropy: 2.2629, recall: 0.6157, relative_absolute_error: 0.505, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9231, scimark_benchmark: 1318.6149, usercpu_time_millis: 4680, usercpu_time_millis_testing: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.5422, kappa: 0.4643, kb_relative_information_score: 120.0553, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5271, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5992, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.8725, scimark_benchmark: 1064.8317, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 1227.9507, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.6613, kappa: 0.5666, kb_relative_information_score: 143.3137, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6948, predictive_accuracy: 0.6653, prior_entropy: 2.2629, recall: 0.6653, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.8905, scimark_benchmark: 1315.933, usercpu_time_millis: 560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5776, kappa: 0.5044, kb_relative_information_score: 123.9628, mean_absolute_error: 0.1891, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5539, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.8181, scimark_benchmark: 1249.4068, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 906.4475, usercpu_time_millis: 930, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.5558, kappa: 0.4418, kb_relative_information_score: 87.7829, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5905, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.337, root_relative_squared_error: 0.8513, scimark_benchmark: 1325.3444, usercpu_time_millis: 720, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.5488, kappa: 0.4353, kb_relative_information_score: 88.906, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5763, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.8498, scimark_benchmark: 854.5188, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.5436, kappa: 0.4774, kb_relative_information_score: 124.9656, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5364, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9225, scimark_benchmark: 896.937, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.0387, kappa: -0.0007, kb_relative_information_score: 9.7192, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0222, predictive_accuracy: 0.1488, prior_entropy: 2.2629, recall: 0.1488, relative_absolute_error: 1.0865, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.5835, root_relative_squared_error: 1.4738, scimark_benchmark: 934.4732, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.4551, kappa: 0.2986, kb_relative_information_score: 85.2977, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4686, predictive_accuracy: 0.4504, prior_entropy: 2.2629, recall: 0.4504, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.1784, scimark_benchmark: 1299.9482, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.4551, kappa: 0.2986, kb_relative_information_score: 85.6869, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4686, predictive_accuracy: 0.4504, prior_entropy: 2.2629, recall: 0.4504, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.1843, scimark_benchmark: 1327.3602, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.2126, kappa: 0.1049, kb_relative_information_score: 17.6346, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.2481, predictive_accuracy: 0.3099, prior_entropy: 2.2629, recall: 0.3099, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.9894, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.6099, kappa: 0.5283, kb_relative_information_score: 133.8824, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6648, predictive_accuracy: 0.6405, prior_entropy: 2.2629, recall: 0.6405, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.9578, scimark_benchmark: 1346.4887, usercpu_time_millis: 2900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6201, kappa: 0.516, kb_relative_information_score: 118.0133, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6338, predictive_accuracy: 0.6281, prior_entropy: 2.2629, recall: 0.6281, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.7987, scimark_benchmark: 1305.7138, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.551, kappa: 0.4359, kb_relative_information_score: 90.005, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5829, predictive_accuracy: 0.5702, prior_entropy: 2.2629, recall: 0.5702, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.8455, scimark_benchmark: 1275.9462, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.5593, kappa: 0.451, kb_relative_information_score: 93.0136, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5915, predictive_accuracy: 0.5826, prior_entropy: 2.2629, recall: 0.5826, relative_absolute_error: 0.7285, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.8334, scimark_benchmark: 1321.5205, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.6332, kappa: 0.5316, kb_relative_information_score: 139.005, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6378, predictive_accuracy: 0.6364, prior_entropy: 2.2629, recall: 0.6364, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.8456, scimark_benchmark: 1329.8847, usercpu_time_millis: 1040, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.6166, kappa: 0.51, kb_relative_information_score: 138.4692, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.624, predictive_accuracy: 0.6198, prior_entropy: 2.2629, recall: 0.6198, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.8201, scimark_benchmark: 1341.4232, usercpu_time_millis: 490, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.3992, kappa: 0.2317, kb_relative_information_score: 68.3079, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4029, predictive_accuracy: 0.405, prior_entropy: 2.2629, recall: 0.405, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.983, scimark_benchmark: 1322.4054, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.4384, kappa: 0.2777, kb_relative_information_score: 82.8265, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.503, predictive_accuracy: 0.4587, prior_entropy: 2.2629, recall: 0.4587, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.1753, scimark_benchmark: 1206.8386, usercpu_time_millis: 610, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.4867, kappa: 0.3446, kb_relative_information_score: 96.5926, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4976, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0734, scimark_benchmark: 912.5006, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.4867, kappa: 0.3446, kb_relative_information_score: 96.5926, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4976, predictive_accuracy: 0.4835, prior_entropy: 2.2629, recall: 0.4835, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.425, root_relative_squared_error: 1.0734, scimark_benchmark: 1360.2771, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.5318, kappa: 0.4168, kb_relative_information_score: 108.4539, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.551, predictive_accuracy: 0.5537, prior_entropy: 2.2629, recall: 0.5537, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.972, scimark_benchmark: 1316.0472, usercpu_time_millis: 1610, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.5381, kappa: 0.4078, kb_relative_information_score: 100.1044, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5494, predictive_accuracy: 0.5413, prior_entropy: 2.2629, recall: 0.5413, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.8508, scimark_benchmark: 1319.5177, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.5182, kappa: 0.3821, kb_relative_information_score: 99.3462, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5222, predictive_accuracy: 0.5165, prior_entropy: 2.2629, recall: 0.5165, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0891, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.3909, kappa: 0.2225, kb_relative_information_score: 64.5155, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3897, predictive_accuracy: 0.3967, prior_entropy: 2.2629, recall: 0.3967, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.031, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.6572, kappa: 0.5703, kb_relative_information_score: 132.8542, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.7115, predictive_accuracy: 0.6736, prior_entropy: 2.2629, recall: 0.6736, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.7599, scimark_benchmark: 1341.5768, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.5459, kappa: 0.4186, kb_relative_information_score: 112.4373, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5473, predictive_accuracy: 0.5455, prior_entropy: 2.2629, recall: 0.5455, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.077, scimark_benchmark: 1350.9691, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.2058, kappa: 0.0764, kb_relative_information_score: 40.0754, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.3467, predictive_accuracy: 0.2934, prior_entropy: 2.2629, recall: 0.2934, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.3428, scimark_benchmark: 1384.4418, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.5604, kappa: 0.4549, kb_relative_information_score: 122.507, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.5676, predictive_accuracy: 0.5744, prior_entropy: 2.2629, recall: 0.5744, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.9056, scimark_benchmark: 1358.4523, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.5968, kappa: 0.4814, kb_relative_information_score: 125.6406, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6465, predictive_accuracy: 0.595, prior_entropy: 2.2629, recall: 0.595, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4025, root_relative_squared_error: 1.0166, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.6283, kappa: 0.5345, kb_relative_information_score: 137.435, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6251, predictive_accuracy: 0.6364, prior_entropy: 2.2629, recall: 0.6364, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.9633, scimark_benchmark: 1392.1129, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1298, kb_relative_information_score: 0.2785, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.0837, predictive_accuracy: 0.2893, prior_entropy: 2.2629, recall: 0.2893, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3959, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.5917, kappa: 0.4891, kb_relative_information_score: 121.099, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6097, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8685, scimark_benchmark: 1066.833, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.223, build_memory: 475145480, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.229, build_memory: 681376672, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 2.14, build_memory: 185533328, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, build_cpu_time: 1.292, build_memory: 374921944, f_measure: 0.6618, kappa: 0.5655, kb_relative_information_score: 119.4795, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.6738, predictive_accuracy: 0.6612, prior_entropy: 2.2629, recall: 0.6612, relative_absolute_error: 0.6232, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.7968, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.041, build_memory: 646373848, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.028, build_memory: 1307567600, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.038, build_memory: 808896776, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.028, build_memory: 795348560, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, build_cpu_time: 0.031, build_memory: 129021104, f_measure: 0.3961, kappa: 0.2258, kb_relative_information_score: 32.8267, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4041, predictive_accuracy: 0.4008, prior_entropy: 2.2629, recall: 0.4008, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.9663, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.014, build_memory: 599015472, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.004, build_memory: 1484100592, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.004, build_memory: 142912224, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.003, build_memory: 277424280, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, build_cpu_time: 0.003, build_memory: 542438112, f_measure: 0.4975, kappa: 0.3662, kb_relative_information_score: 100.7998, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3134, number_of_instances: 242, precision: 0.4914, predictive_accuracy: 0.5083, prior_entropy: 2.2629, recall: 0.5083, relative_absolute_error: 0.6347, root_mean_prior_squared_error: 0.3959, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0878, scimark_benchmark: 939.084,

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