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: 0.9999, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6382.4603, mean_absolute_error: 0.0133, 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: 0.0511, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0268, root_relative_squared_error: 0.0742, scimark_benchmark: 1261.0019, usercpu_time_millis: 8.721, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 8.358,
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: 1282.8056, usercpu_time_millis: 1.801, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.531,
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: 1239.7052, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 5508.6528, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.099, root_relative_squared_error: 0.2741, scimark_benchmark: 1216.813, usercpu_time_millis: 3.947, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 3.557,
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: 1277.3682, usercpu_time_millis: 1.736, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9865, kb_relative_information_score: 5309.6789, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3157, scimark_benchmark: 1269.5378, usercpu_time_millis: 3.358, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 2.98,
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: 1242.6701, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8952, kappa: 0.5534, kb_relative_information_score: 2732.8857, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9195, predictive_accuracy: 0.911, prior_entropy: 0.6204, recall: 0.911, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7123, scimark_benchmark: 1222.4631, usercpu_time_millis: 2.007, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.727,
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: 1259.9269, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.401,
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: 1272.3525, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.383,
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: 1270.7621, usercpu_time_millis: 1.995, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1.618,
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: 1238.1624, usercpu_time_millis: 1.796, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6525.168, mean_absolute_error: 0.0042, 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: 0.0162, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0495, scimark_benchmark: 1274.5977, usercpu_time_millis: 12.679, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 12.282,
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: 1221.2273, usercpu_time_millis: 2.055, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7752, kb_relative_information_score: 109.5925, mean_absolute_error: 0.2586, 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: 0.9915, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9919, scimark_benchmark: 1237.0411, usercpu_time_millis: 1.924, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 1.531,
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: 1240.3551, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 1.441,
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: 1227.8379, usercpu_time_millis: 2.234, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 1.762,
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: 1270.0333, usercpu_time_millis: 1.905, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9723, kappa: 0.8899, kb_relative_information_score: 4589.7542, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9741, predictive_accuracy: 0.9733, prior_entropy: 0.6204, recall: 0.9733, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1273.6685, usercpu_time_millis: 2.649, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 2.26,
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: 1268.6869, usercpu_time_millis: 2.019, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.57,
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: 1197.9727, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.513,
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: 1269.3261, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 5605.8814, mean_absolute_error: 0.0585, 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: 0.2243, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.089, root_relative_squared_error: 0.2465, scimark_benchmark: 1266.4154, usercpu_time_millis: 7.076, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 6.702,
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: 1268.3897, usercpu_time_millis: 1.796, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.536,
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: 1226.4043, usercpu_time_millis: 1.766, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.405,
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: 1222.7079, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 1.611,
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: 1224.3869, usercpu_time_millis: 1.831, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1.478,
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: 1267.4301, usercpu_time_millis: 1.755, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7513, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2486.7885, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.7924, scimark_benchmark: 1250.1591, usercpu_time_millis: 950.495, usercpu_time_millis_testing: 12.54, usercpu_time_millis_training: 937.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.8013, kb_relative_information_score: 4710.5235, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9489, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1217.9652, usercpu_time_millis: 469.174, usercpu_time_millis_testing: 4.779, usercpu_time_millis_training: 464.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3495.4993, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1209.9648, usercpu_time_millis: 574.186, usercpu_time_millis_testing: 5.418, usercpu_time_millis_training: 568.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6427.6322, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.055, root_relative_squared_error: 0.1524, scimark_benchmark: 1223.7115, usercpu_time_millis: 277.981, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 276.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9197, kappa: 0.6738, kb_relative_information_score: 3492.715, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.678, scimark_benchmark: 1268.1509, usercpu_time_millis: 468.903, usercpu_time_millis_testing: 5.496, usercpu_time_millis_training: 463.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6470.265, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.1101, scimark_benchmark: 1252.009, usercpu_time_millis: 411.352, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 408.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1247.1308, usercpu_time_millis: 198.729, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 198.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9195, kappa: 0.6733, kb_relative_information_score: 3492.7476, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9218, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6789, scimark_benchmark: 1273.0568, usercpu_time_millis: 582.629, usercpu_time_millis_testing: 5.78, usercpu_time_millis_training: 576.849,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.4971, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4624, scimark_benchmark: 1220.4052, usercpu_time_millis: 780.532, usercpu_time_millis_testing: 8.052, usercpu_time_millis_training: 772.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1236.0046, usercpu_time_millis: 258.436, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 257.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9936, kappa: 0.9756, kb_relative_information_score: 6301.8304, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9937, predictive_accuracy: 0.9936, prior_entropy: 0.6204, recall: 0.9936, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1988, scimark_benchmark: 1261.3457, usercpu_time_millis: 383.45, usercpu_time_millis_testing: 2.964, usercpu_time_millis_training: 380.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9491, kappa: 0.8008, kb_relative_information_score: 4704.3519, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5405, scimark_benchmark: 1200.2283, usercpu_time_millis: 625.695, usercpu_time_millis_testing: 7.103, usercpu_time_millis_training: 618.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9605, kappa: 0.8446, kb_relative_information_score: 5120.5725, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9608, predictive_accuracy: 0.9615, prior_entropy: 0.6204, recall: 0.9615, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.476, scimark_benchmark: 1253.6733, usercpu_time_millis: 555.478, usercpu_time_millis_testing: 5.954, usercpu_time_millis_training: 549.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0088, mean_absolute_error: 0.001, 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: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0162, root_relative_squared_error: 0.045, scimark_benchmark: 1259.2277, usercpu_time_millis: 236.998, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 235.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1210.7143, usercpu_time_millis: 226.816, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 226.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9867, kb_relative_information_score: 6437.8425, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1423, scimark_benchmark: 1206.2733, usercpu_time_millis: 320.564, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 318.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9861, kb_relative_information_score: 6442.2658, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 0.0236, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1427, scimark_benchmark: 1232.6774, usercpu_time_millis: 430.482, usercpu_time_millis_testing: 2.816, usercpu_time_millis_training: 427.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6458.5357, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0205, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.1388, scimark_benchmark: 1224.7664, usercpu_time_millis: 296.579, usercpu_time_millis_testing: 1.509, usercpu_time_millis_training: 295.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1228.9078, usercpu_time_millis: 378.601, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 376.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1272.1595, usercpu_time_millis: 243.293, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 242.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6524.0695, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.0815, scimark_benchmark: 1222.2894, usercpu_time_millis: 417.389, usercpu_time_millis_testing: 2.623, usercpu_time_millis_training: 414.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6560.9067, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0472, scimark_benchmark: 1259.1554, usercpu_time_millis: 327.465, usercpu_time_millis_testing: 2.407, usercpu_time_millis_training: 325.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1203.3155, usercpu_time_millis: 383.462, usercpu_time_millis_testing: 2.998, usercpu_time_millis_training: 380.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9648, kappa: 0.863, kb_relative_information_score: 5180.074, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.461, scimark_benchmark: 1216.5884, usercpu_time_millis: 867.83, usercpu_time_millis_testing: 10.571, usercpu_time_millis_training: 857.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9676, kappa: 0.8743, kb_relative_information_score: 5317.5659, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9675, predictive_accuracy: 0.968, prior_entropy: 0.6204, recall: 0.968, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.4423, scimark_benchmark: 1218.172, usercpu_time_millis: 805.084, usercpu_time_millis_testing: 8.845, usercpu_time_millis_training: 796.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.923, kappa: 0.686, kb_relative_information_score: 3603.7407, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9266, predictive_accuracy: 0.9286, prior_entropy: 0.6204, recall: 0.9286, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.6618, scimark_benchmark: 1225.4664, usercpu_time_millis: 770.435, usercpu_time_millis_testing: 6.352, usercpu_time_millis_training: 764.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9267, kappa: 0.7017, kb_relative_information_score: 3836.5526, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9304, predictive_accuracy: 0.9319, prior_entropy: 0.6204, recall: 0.9319, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6318, scimark_benchmark: 1210.2827, usercpu_time_millis: 762.129, usercpu_time_millis_testing: 8.352, usercpu_time_millis_training: 753.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.1768, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4625, scimark_benchmark: 1272.3798, usercpu_time_millis: 650.093, usercpu_time_millis_testing: 6.56, usercpu_time_millis_training: 643.533,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1221.215, usercpu_time_millis: 204.657, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 204.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, 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: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1224.1218, usercpu_time_millis: 204.11, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 203.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9669, kappa: 0.871, kb_relative_information_score: 5290.4419, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.16, root_relative_squared_error: 0.443, scimark_benchmark: 1210.3244, usercpu_time_millis: 847.078, usercpu_time_millis_testing: 9.841, usercpu_time_millis_training: 837.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6453.0588, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1412, scimark_benchmark: 1257.1896, usercpu_time_millis: 239.906, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 238.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6565.5869, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0145, root_relative_squared_error: 0.04, scimark_benchmark: 1258.9854, usercpu_time_millis: 323.156, usercpu_time_millis_testing: 2.488, usercpu_time_millis_training: 320.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6555.862, mean_absolute_error: 0.0018, 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: 0.007, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0453, scimark_benchmark: 1270.8555, usercpu_time_millis: 392.301, usercpu_time_millis_testing: 3.362, usercpu_time_millis_training: 388.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.6641, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1258.8523, usercpu_time_millis: 347.716, usercpu_time_millis_testing: 2.598, usercpu_time_millis_training: 345.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.98, kappa: 0.9223, kb_relative_information_score: 5807.6937, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9801, predictive_accuracy: 0.9803, prior_entropy: 0.6204, recall: 0.9803, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.3393, scimark_benchmark: 1206.7154, usercpu_time_millis: 683.125, usercpu_time_millis_testing: 8.098, usercpu_time_millis_training: 675.027,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.

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Leaderboard

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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