OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 4558 Supervised Classification eucalyptus 210 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7473, kappa: 0.3783, kb_relative_information_score: 1902.915, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7445, predictive_accuracy: 0.7516, prior_entropy: 0.8704, recall: 0.7516, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8741, scimark_benchmark: 1342.6744, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7176, kappa: 0.293, kb_relative_information_score: 1498.3117, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7135, predictive_accuracy: 0.7311, prior_entropy: 0.8704, recall: 0.7311, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8974, scimark_benchmark: 1353.5464, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.6699, kappa: 0.1614, kb_relative_information_score: 1888.6967, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.6789, predictive_accuracy: 0.716, prior_entropy: 0.8704, recall: 0.716, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1735, scimark_benchmark: 1394.7099, usercpu_time_millis: 450, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.6699, kappa: 0.1614, kb_relative_information_score: 1888.6967, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.6789, predictive_accuracy: 0.716, prior_entropy: 0.8704, recall: 0.716, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.1735, scimark_benchmark: 1320.2063, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7359, kappa: 0.3552, kb_relative_information_score: 2191.9384, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7342, predictive_accuracy: 0.7379, prior_entropy: 0.8704, recall: 0.7379, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.0194, scimark_benchmark: 940.3347, usercpu_time_millis: 2700, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7473, kappa: 0.3783, kb_relative_information_score: 1902.915, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7445, predictive_accuracy: 0.7516, prior_entropy: 0.8704, recall: 0.7516, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8741, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7332, kappa: 0.3764, kb_relative_information_score: 1352.2523, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7462, predictive_accuracy: 0.7261, prior_entropy: 0.8704, recall: 0.7261, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8708, scimark_benchmark: 1371.9645, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7429, kappa: 0.3654, kb_relative_information_score: 1799.916, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7397, predictive_accuracy: 0.7486, prior_entropy: 0.8704, recall: 0.7486, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8847, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7332, kappa: 0.3764, kb_relative_information_score: 1352.2523, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7462, predictive_accuracy: 0.7261, prior_entropy: 0.8704, recall: 0.7261, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8708, scimark_benchmark: 1280.6338, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7537, kappa: 0.4035, kb_relative_information_score: 2198.3117, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.754, predictive_accuracy: 0.7534, prior_entropy: 0.8704, recall: 0.7534, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.9361, scimark_benchmark: 1280.6338, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7476, kappa: 0.4048, kb_relative_information_score: 2244.5135, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7567, predictive_accuracy: 0.7421, prior_entropy: 0.8704, recall: 0.7421, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0259, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7678, kappa: 0.4468, kb_relative_information_score: 2627.0599, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7729, predictive_accuracy: 0.7644, prior_entropy: 0.8704, recall: 0.7644, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9991, scimark_benchmark: 940.3347, usercpu_time_millis: 3110, usercpu_time_millis_testing: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7332, kappa: 0.3764, kb_relative_information_score: 1352.2523, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7462, predictive_accuracy: 0.7261, prior_entropy: 0.8704, recall: 0.7261, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8708, scimark_benchmark: 942.9708, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7476, kappa: 0.4048, kb_relative_information_score: 2244.5135, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7567, predictive_accuracy: 0.7421, prior_entropy: 0.8704, recall: 0.7421, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0259, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7141, kappa: 0.287, kb_relative_information_score: 1468.0079, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7095, predictive_accuracy: 0.7255, prior_entropy: 0.8704, recall: 0.7255, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9108, scimark_benchmark: 1342.6911, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7512, kappa: 0.4156, kb_relative_information_score: 1703.9941, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7619, predictive_accuracy: 0.7452, prior_entropy: 0.8704, recall: 0.7452, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8794, scimark_benchmark: 915.9324, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7614, kappa: 0.4195, kb_relative_information_score: 2355.6693, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7606, predictive_accuracy: 0.7622, prior_entropy: 0.8704, recall: 0.7622, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8952, scimark_benchmark: 996.6105, usercpu_time_millis: 1240, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7141, kappa: 0.287, kb_relative_information_score: 1468.0079, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7095, predictive_accuracy: 0.7255, prior_entropy: 0.8704, recall: 0.7255, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9108, scimark_benchmark: 1151.6869, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.7406, kappa: 0.364, kb_relative_information_score: 1920.8605, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7382, predictive_accuracy: 0.7439, prior_entropy: 0.8704, recall: 0.7439, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8868, scimark_benchmark: 1343.5291, usercpu_time_millis: 2250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7058, kappa: 0.2913, kb_relative_information_score: 1651.0847, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7078, predictive_accuracy: 0.7041, prior_entropy: 0.8704, recall: 0.7041, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5432, root_relative_squared_error: 1.1961, scimark_benchmark: 1318.6149, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7332, kappa: 0.3764, kb_relative_information_score: 1352.2523, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7462, predictive_accuracy: 0.7261, prior_entropy: 0.8704, recall: 0.7261, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8708, scimark_benchmark: 1327.5791, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7544, kappa: 0.4028, kb_relative_information_score: 2375.737, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7537, predictive_accuracy: 0.755, prior_entropy: 0.8704, recall: 0.755, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8873, scimark_benchmark: 889.3151, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7429, kappa: 0.3654, kb_relative_information_score: 1799.916, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7397, predictive_accuracy: 0.7486, prior_entropy: 0.8704, recall: 0.7486, relative_absolute_error: 0.7252, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.8847, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.7476, kappa: 0.4048, kb_relative_information_score: 2244.5135, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7567, predictive_accuracy: 0.7421, prior_entropy: 0.8704, recall: 0.7421, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0259, scimark_benchmark: 1327.035, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7512, kappa: 0.4156, kb_relative_information_score: 1703.9941, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7619, predictive_accuracy: 0.7452, prior_entropy: 0.8704, recall: 0.7452, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8794, scimark_benchmark: 906.4475, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7402, kappa: 0.355, kb_relative_information_score: 2513.4876, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7367, predictive_accuracy: 0.7482, prior_entropy: 0.8704, recall: 0.7482, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9974, scimark_benchmark: 1350.4702, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7332, kappa: 0.3764, kb_relative_information_score: 1352.2523, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7462, predictive_accuracy: 0.7261, prior_entropy: 0.8704, recall: 0.7261, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.8708, scimark_benchmark: 1349.1028, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7382, kappa: 0.3397, kb_relative_information_score: 1571.993, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7397, predictive_accuracy: 0.7564, prior_entropy: 0.8704, recall: 0.7564, relative_absolute_error: 0.7766, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.8649, scimark_benchmark: 1331.2332, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7546, kappa: 0.4005, kb_relative_information_score: 2114.1296, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.753, predictive_accuracy: 0.7567, prior_entropy: 0.8704, recall: 0.7567, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.8604, scimark_benchmark: 1352.2099, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.7167, kappa: 0.2908, kb_relative_information_score: 1497.9846, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7125, predictive_accuracy: 0.7302, prior_entropy: 0.8704, recall: 0.7302, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8966, scimark_benchmark: 1314.9535, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7404, kappa: 0.3989, kb_relative_information_score: 2040.4969, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7574, predictive_accuracy: 0.7323, prior_entropy: 0.8704, recall: 0.7323, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9939, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7408, kappa: 0.3479, kb_relative_information_score: 1589.6781, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7407, predictive_accuracy: 0.7567, prior_entropy: 0.8704, recall: 0.7567, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8661, scimark_benchmark: 1331.6907, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7171, kappa: 0.2919, kb_relative_information_score: 1481.6338, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7129, predictive_accuracy: 0.7304, prior_entropy: 0.8704, recall: 0.7304, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.9004, scimark_benchmark: 895.5332, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7165, kappa: 0.2921, kb_relative_information_score: 1497.2481, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7121, predictive_accuracy: 0.7287, prior_entropy: 0.8704, recall: 0.7287, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9015, scimark_benchmark: 1304.9611, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.7505, kappa: 0.4019, kb_relative_information_score: 2024.1461, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7537, predictive_accuracy: 0.748, prior_entropy: 0.8704, recall: 0.748, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9262, scimark_benchmark: 924.1296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7376, kappa: 0.3563, kb_relative_information_score: 2077.371, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7351, predictive_accuracy: 0.741, prior_entropy: 0.8704, recall: 0.741, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.8553, scimark_benchmark: 924.3698, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7373, kappa: 0.3556, kb_relative_information_score: 1990.441, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7348, predictive_accuracy: 0.7408, prior_entropy: 0.8704, recall: 0.7408, relative_absolute_error: 0.6942, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.8581, scimark_benchmark: 915.9693, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.7313, kappa: 0.3449, kb_relative_information_score: 1846.6273, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7299, predictive_accuracy: 0.7329, prior_entropy: 0.8704, recall: 0.7329, relative_absolute_error: 0.7135, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8656, scimark_benchmark: 915.9693, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7258, kappa: 0.3382, kb_relative_information_score: 1648.7732, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7271, predictive_accuracy: 0.7246, prior_entropy: 0.8704, recall: 0.7246, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8754, scimark_benchmark: 1333.5799, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7317, kappa: 0.3651, kb_relative_information_score: 1556.4621, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7397, predictive_accuracy: 0.7265, prior_entropy: 0.8704, recall: 0.7265, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8791, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7295, kappa: 0.345, kb_relative_information_score: 1633.5966, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7299, predictive_accuracy: 0.7292, prior_entropy: 0.8704, recall: 0.7292, relative_absolute_error: 0.7312, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.9126, scimark_benchmark: 937.1527, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.735, kappa: 0.3625, kb_relative_information_score: 1756.2451, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7373, predictive_accuracy: 0.7332, prior_entropy: 0.8704, recall: 0.7332, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.436, root_relative_squared_error: 0.96, scimark_benchmark: 854.5188, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.7208, kappa: 0.3762, kb_relative_information_score: 1752.7216, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7557, predictive_accuracy: 0.709, prior_entropy: 0.8704, recall: 0.709, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.188, scimark_benchmark: 1313.9994, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5893, kappa: 0.0002, kb_relative_information_score: 1744.8769, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.5925, predictive_accuracy: 0.7086, prior_entropy: 0.8704, recall: 0.7086, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.1888, scimark_benchmark: 1336.3256, usercpu_time_millis: 620, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.7428, kappa: 0.3675, kb_relative_information_score: 2487.5103, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.74, predictive_accuracy: 0.7471, prior_entropy: 0.8704, recall: 0.7471, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.1073, scimark_benchmark: 1287.514, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7351, kappa: 0.3462, kb_relative_information_score: 1780.3894, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7317, predictive_accuracy: 0.7408, prior_entropy: 0.8704, recall: 0.7408, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8832, scimark_benchmark: 906.4475, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.5618, kappa: 0.0187, kb_relative_information_score: -1434.8492, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.5959, predictive_accuracy: 0.5433, prior_entropy: 0.8704, recall: 0.5433, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.6758, root_relative_squared_error: 1.4881, scimark_benchmark: 923.988, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.74, kappa: 0.3635, kb_relative_information_score: 2106.4619, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7378, predictive_accuracy: 0.7428, prior_entropy: 0.8704, recall: 0.7428, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.421, root_relative_squared_error: 0.9271, scimark_benchmark: 942.9708, usercpu_time_millis: 36710, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 36230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7473, kappa: 0.3783, kb_relative_information_score: 1902.915, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7445, predictive_accuracy: 0.7516, prior_entropy: 0.8704, recall: 0.7516, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8741, scimark_benchmark: 1327.8711, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7263, kappa: 0.3359, kb_relative_information_score: 2021.8196, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7261, predictive_accuracy: 0.7265, prior_entropy: 0.8704, recall: 0.7265, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.1404, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.712, kappa: 0.2867, kb_relative_information_score: 1325.2812, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7075, predictive_accuracy: 0.7198, prior_entropy: 0.8704, recall: 0.7198, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9622, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7758, f_measure: 0.7474, kappa: 0.3796, kb_relative_information_score: 1985.4449, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7449, predictive_accuracy: 0.7512, prior_entropy: 0.8704, recall: 0.7512, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9249, scimark_benchmark: 1318.1432, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7339, kappa: 0.3514, kb_relative_information_score: 2262.6283, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7326, predictive_accuracy: 0.7355, prior_entropy: 0.8704, recall: 0.7355, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1326, scimark_benchmark: 1359.379, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.3637, kappa: 0.0403, kb_relative_information_score: -4277.2524, mean_absolute_error: 0.6043, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.6395, predictive_accuracy: 0.3957, prior_entropy: 0.8704, recall: 0.3957, relative_absolute_error: 1.4645, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.7774, root_relative_squared_error: 1.7119, scimark_benchmark: 905.1217, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7417, kappa: 0.3719, kb_relative_information_score: 2232.0426, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.741, predictive_accuracy: 0.7424, prior_entropy: 0.8704, recall: 0.7424, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9999, scimark_benchmark: 1330.0803, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, f_measure: 0.6702, kappa: 0.1696, kb_relative_information_score: 1412.7838, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.6626, predictive_accuracy: 0.6913, prior_entropy: 0.8704, recall: 0.6913, relative_absolute_error: 0.748, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.2235, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7386, kappa: 0.3702, kb_relative_information_score: 2291.3923, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7404, predictive_accuracy: 0.737, prior_entropy: 0.8704, recall: 0.737, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.1294, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, f_measure: 0.5886, kb_relative_information_score: -4.0205, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.503, predictive_accuracy: 0.7092, prior_entropy: 0.8704, recall: 0.7092, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4541, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7517, kappa: 0.4008, kb_relative_information_score: 2164.9082, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4127, number_of_instances: 7360, precision: 0.7529, predictive_accuracy: 0.7505, prior_entropy: 0.8704, recall: 0.7505, relative_absolute_error: 0.669, root_mean_prior_squared_error: 0.4541, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9345, scimark_benchmark: 1418.5826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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