OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1267.1921, usercpu_time_millis: 2.711, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 1.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.893, kappa: 0.5434, kb_relative_information_score: -3878.6928, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9183, predictive_accuracy: 0.9095, prior_entropy: 0.6204, recall: 0.9095, relative_absolute_error: 1.1496, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0269, scimark_benchmark: 1243.4138, usercpu_time_millis: 636.852, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 636.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1218.7432, usercpu_time_millis: 2.265, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 1.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6495.0359, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.0549, scimark_benchmark: 1264.056, usercpu_time_millis: 6.48, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 6.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6466.5359, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0306, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0214, root_relative_squared_error: 0.0593, scimark_benchmark: 1236.3497, usercpu_time_millis: 8.212, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 7.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1275.0433, usercpu_time_millis: 2.171, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 1.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1225.6827, usercpu_time_millis: 2.274, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 1.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9922, kappa: 0.9697, kb_relative_information_score: 5289.3939, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.3256, scimark_benchmark: 1242.1896, usercpu_time_millis: 3.829, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 3.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.7171, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6483.836, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0264, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0542, scimark_benchmark: 1275.821, usercpu_time_millis: 13.472, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 13.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1532.2787, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8551, scimark_benchmark: 1231.6891, usercpu_time_millis: 2.012, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1219.7817, usercpu_time_millis: 2.12, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 1.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9693, kappa: 0.8777, kb_relative_information_score: 4473.2735, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9716, predictive_accuracy: 0.9706, prior_entropy: 0.6204, recall: 0.9706, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.4741, scimark_benchmark: 1250.5676, usercpu_time_millis: 2.702, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 2.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1231.702, usercpu_time_millis: 1.998, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 1.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1268.7453, usercpu_time_millis: 2.074, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1276.82, usercpu_time_millis: 2.078, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6496.4483, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0196, root_relative_squared_error: 0.0542, scimark_benchmark: 1273.2362, usercpu_time_millis: 8.889, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 8.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9676, kappa: 0.8708, kb_relative_information_score: 2368.4577, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9702, predictive_accuracy: 0.9691, prior_entropy: 0.6204, recall: 0.9691, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.6328, scimark_benchmark: 1220.0666, usercpu_time_millis: 562.363, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 561.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9036, kappa: 0.5915, kb_relative_information_score: 3113.3094, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9244, predictive_accuracy: 0.9169, prior_entropy: 0.6204, recall: 0.9169, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6645, scimark_benchmark: 1222.941, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1266.7388, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1274.4732, usercpu_time_millis: 2.089, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.3175, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1269.9087, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1209.8181, usercpu_time_millis: 2.611, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 2.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.7752, kb_relative_information_score: 76.6515, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9953, scimark_benchmark: 1243.7235, usercpu_time_millis: 2.702, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8149, kappa: 0.1817, kb_relative_information_score: 979.7588, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8827, predictive_accuracy: 0.8637, prior_entropy: 0.6204, recall: 0.8637, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9149, scimark_benchmark: 1268.1611, usercpu_time_millis: 2.098, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1223.3031, usercpu_time_millis: 2.165, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 1.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9473, kappa: 0.785, kb_relative_information_score: 2623.015, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9539, predictive_accuracy: 0.9512, prior_entropy: 0.6204, recall: 0.9512, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.6495, scimark_benchmark: 1245.0078, usercpu_time_millis: 87.334, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 86.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1214.9963, usercpu_time_millis: 2.368, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6433.0177, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0223, root_relative_squared_error: 0.0617, scimark_benchmark: 1271.1051, usercpu_time_millis: 16.961, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 16.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1218.6096, usercpu_time_millis: 2.188, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1260.1714, usercpu_time_millis: 2.185, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 1.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1276.6208, usercpu_time_millis: 2.356, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6489.4592, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0554, scimark_benchmark: 1228.2991, usercpu_time_millis: 7.508, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 7.049,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1221.3825, usercpu_time_millis: 2.136, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.713,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8804, kappa: 0.4853, kb_relative_information_score: 2413.6886, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9114, predictive_accuracy: 0.901, prior_entropy: 0.6204, recall: 0.901, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.7496, scimark_benchmark: 1273.1343, usercpu_time_millis: 2.007, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1226.6088, usercpu_time_millis: 2.102, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1266.2356, usercpu_time_millis: 1.884, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1266.4939, usercpu_time_millis: 1.733, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 1.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.958, kappa: 0.8305, kb_relative_information_score: 1738.1785, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9622, predictive_accuracy: 0.9604, prior_entropy: 0.6204, recall: 0.9604, relative_absolute_error: 0.6088, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.6857, scimark_benchmark: 1232.2113, usercpu_time_millis: 293.498, usercpu_time_millis_testing: 0.471, usercpu_time_millis_training: 293.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7752, kb_relative_information_score: -12482.9447, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.917, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.5, root_relative_squared_error: 1.3847, scimark_benchmark: 1275.4913, usercpu_time_millis: 895.405, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 894.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9307, kappa: 0.713, kb_relative_information_score: -1561.5671, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9419, predictive_accuracy: 0.9376, prior_entropy: 0.6204, recall: 0.9376, relative_absolute_error: 0.8864, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8946, scimark_benchmark: 1215.0392, usercpu_time_millis: 759.519, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 759.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1270.4183, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 1.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1224.0301, usercpu_time_millis: 2.131, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 1.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1275.484, usercpu_time_millis: 1.917, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 1.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1285.6989, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 1.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6455.9715, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0216, root_relative_squared_error: 0.0597, scimark_benchmark: 1259.8811, usercpu_time_millis: 9.138, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 8.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.5683, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6500.9673, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0183, root_relative_squared_error: 0.0506, scimark_benchmark: 1227.4727, usercpu_time_millis: 15.577, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 15.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1221.085, usercpu_time_millis: 2.327, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.9307, kappa: 0.713, kb_relative_information_score: -1563.2613, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9419, predictive_accuracy: 0.9376, prior_entropy: 0.6204, recall: 0.9376, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8941, scimark_benchmark: 1219.7637, usercpu_time_millis: 879.617, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 879.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: 1693.3732, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.302, root_relative_squared_error: 0.8364, scimark_benchmark: 1231.6863, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1273.2151, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1263.4415, usercpu_time_millis: 1.969, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 1.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9246, kappa: 0.6859, kb_relative_information_score: 3338.3692, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9377, predictive_accuracy: 0.9327, prior_entropy: 0.6204, recall: 0.9327, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.6351, scimark_benchmark: 1269.6793, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1267.9768, usercpu_time_millis: 1.704, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1270.6783, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1257.3592, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1258.9743, usercpu_time_millis: 1.984, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8397, kappa: 0.2967, kb_relative_information_score: 997.2719, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8923, predictive_accuracy: 0.8766, prior_entropy: 0.6204, recall: 0.8766, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.9135, scimark_benchmark: 1228.1279, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1270.5251, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1268.7014, usercpu_time_millis: 1.878, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.7752, kb_relative_information_score: 24.8351, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9986, scimark_benchmark: 1262.4699, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.7752, kb_relative_information_score: 1.2109, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.7155, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3611, root_relative_squared_error: 1, scimark_benchmark: 1203.2533, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 1.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8251, kappa: 0.2292, kb_relative_information_score: 2489.0581, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8865, predictive_accuracy: 0.8689, prior_entropy: 0.6204, recall: 0.8689, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.7378, scimark_benchmark: 1271.7844, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 2.284,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs