OpenML
Supervised Classification on visualizing_galaxy

Supervised Classification on visualizing_galaxy

Task 4493 Supervised Classification visualizing_galaxy 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1338.7159, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9397, kappa: 0.8785, kb_relative_information_score: 2673.7129, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.432, scimark_benchmark: 1314.2279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 1292.514, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9397, kappa: 0.8786, kb_relative_information_score: 2667.1346, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9399, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4667, scimark_benchmark: 1382.5085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 1344.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1340.5125,
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: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1314.2558, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1347.4911, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8764, kappa: 0.7513, kb_relative_information_score: 2435.9157, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.8889, predictive_accuracy: 0.8783, prior_entropy: 0.995, recall: 0.8783, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7001, scimark_benchmark: 1311.7006, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 2618.5783, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.995, recall: 0.9353, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4796, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9554, kappa: 0.9102, kb_relative_information_score: 2900.1195, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.995, recall: 0.9554, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3672, scimark_benchmark: 1344.4042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1449.4352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9397, kappa: 0.8786, kb_relative_information_score: 2667.1346, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9399, predictive_accuracy: 0.9396, prior_entropy: 0.995, recall: 0.9396, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4667, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 2618.5783, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9354, predictive_accuracy: 0.9353, prior_entropy: 0.995, recall: 0.9353, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4796, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 1357.5655, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9541, kappa: 0.9076, kb_relative_information_score: 2801.297, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.995, recall: 0.9542, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.385, scimark_benchmark: 1368.9272, usercpu_time_millis: 740, usercpu_time_millis_testing: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.9371, kappa: 0.8733, kb_relative_information_score: 2805.7206, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9371, predictive_accuracy: 0.9372, prior_entropy: 0.995, recall: 0.9372, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5015, scimark_benchmark: 1318.6149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9455, kappa: 0.8904, kb_relative_information_score: 2650.5644, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9456, predictive_accuracy: 0.9455, prior_entropy: 0.995, recall: 0.9455, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4183, scimark_benchmark: 1337.5749, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9464, kappa: 0.8922, kb_relative_information_score: 2865.0035, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9465, predictive_accuracy: 0.9464, prior_entropy: 0.995, recall: 0.9464, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4306, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2679.6324, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.415, scimark_benchmark: 918.0213, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9551, kappa: 0.9095, kb_relative_information_score: 2534.6304, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.995, recall: 0.9551, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.3849, scimark_benchmark: 932.5646, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9415, kappa: 0.8822, kb_relative_information_score: 2833.0453, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.995, recall: 0.9415, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4495, scimark_benchmark: 1350.4702, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9338, kappa: 0.8667, kb_relative_information_score: 2797.5065, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.995, recall: 0.9337, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.5166, scimark_benchmark: 1360.2771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9359, kappa: 0.8711, kb_relative_information_score: 2661.0371, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9361, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4671, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9418, kappa: 0.8829, kb_relative_information_score: 2801.1579, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.995, recall: 0.9418, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4672, scimark_benchmark: 1347.388, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9431, kappa: 0.8854, kb_relative_information_score: 2774.378, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9432, predictive_accuracy: 0.943, prior_entropy: 0.995, recall: 0.943, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4629, scimark_benchmark: 1292.1375,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9403, kappa: 0.8797, kb_relative_information_score: 2681.0306, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.995, recall: 0.9402, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4158, scimark_benchmark: 887.6719, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9387, kappa: 0.8767, kb_relative_information_score: 2672.7849, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9388, predictive_accuracy: 0.9387, prior_entropy: 0.995, recall: 0.9387, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4219, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9427, kappa: 0.8846, kb_relative_information_score: 2759.5885, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.995, recall: 0.9427, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4605, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9495, kappa: 0.8983, kb_relative_information_score: 2868.6953, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.995, recall: 0.9495, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4222, scimark_benchmark: 912.5006, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9471, kappa: 0.8934, kb_relative_information_score: 2842.8629, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.995, recall: 0.9471, relative_absolute_error: 0.1232, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4136, scimark_benchmark: 1337.7959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9446, kappa: 0.8885, kb_relative_information_score: 2798.8522, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 0.995, recall: 0.9446, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4195, scimark_benchmark: 1330.0694, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9418, kappa: 0.883, kb_relative_information_score: 2722.7297, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9422, predictive_accuracy: 0.9418, prior_entropy: 0.995, recall: 0.9418, relative_absolute_error: 0.1672, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.44, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9384, kappa: 0.8762, kb_relative_information_score: 2647.0063, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9387, predictive_accuracy: 0.9384, prior_entropy: 0.995, recall: 0.9384, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4638, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9474, kappa: 0.8942, kb_relative_information_score: 2802.8373, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9476, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3858, scimark_benchmark: 883.2709, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9471, kappa: 0.8935, kb_relative_information_score: 2806.1967, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.995, recall: 0.9471, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4089, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9579, kappa: 0.9153, kb_relative_information_score: 2955.0712, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9579, predictive_accuracy: 0.9579, prior_entropy: 0.995, recall: 0.9579, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4118, scimark_benchmark: 1312.3073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5169, f_measure: 0.4146, kappa: 0.0365, kb_relative_information_score: 341.1132, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.7564, predictive_accuracy: 0.5573, prior_entropy: 0.995, recall: 0.5573, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.6654, root_relative_squared_error: 1.3354, scimark_benchmark: 1325.2092, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9234, kappa: 0.8455, kb_relative_information_score: 2734.8846, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.931, predictive_accuracy: 0.9241, prior_entropy: 0.995, recall: 0.9241, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5528, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9569, kappa: 0.9132, kb_relative_information_score: 2603.6313, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9571, predictive_accuracy: 0.957, prior_entropy: 0.995, recall: 0.957, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4014, scimark_benchmark: 1386.5717, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9287, kappa: 0.8563, kb_relative_information_score: 2765.1855, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.995, recall: 0.9288, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5356, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9591, kappa: 0.9175, kb_relative_information_score: 2510.1071, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9593, predictive_accuracy: 0.9591, prior_entropy: 0.995, recall: 0.9591, relative_absolute_error: 0.2485, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4159, scimark_benchmark: 926.6704, usercpu_time_millis: 630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9406, kappa: 0.8803, kb_relative_information_score: 2787.6717, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.995, recall: 0.9406, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.3996, scimark_benchmark: 1341.5768, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.939, kappa: 0.8772, kb_relative_information_score: 2831.8475, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.939, predictive_accuracy: 0.939, prior_entropy: 0.995, recall: 0.939, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.247, root_relative_squared_error: 0.4957, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9328, kappa: 0.8648, kb_relative_information_score: 2645.7673, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9329, predictive_accuracy: 0.9328, prior_entropy: 0.995, recall: 0.9328, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.4939, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9359, kappa: 0.871, kb_relative_information_score: 2712.7892, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9359, predictive_accuracy: 0.9359, prior_entropy: 0.995, recall: 0.9359, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.4885, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9474, kappa: 0.8941, kb_relative_information_score: 2886.3891, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4965, number_of_instances: 3230, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.995, recall: 0.9474, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4983, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4604, scimark_benchmark: 1372.2145, 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