Task
Supervised Classification on mfeat-factors

Supervised Classification on mfeat-factors

Task 3841 Supervised Classification mfeat-factors 568 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9549, kappa: 0.7699, kb_relative_information_score: 1274.9824, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9634, predictive_accuracy: 0.9515, prior_entropy: 0.4703, recall: 0.9515, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.994, kappa: 0.9665, kb_relative_information_score: 1889.4117, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0706, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.992, kappa: 0.9552, kb_relative_information_score: 1843.3952, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.956, kappa: 0.774, kb_relative_information_score: 1283.6329, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9634, predictive_accuracy: 0.953, prior_entropy: 0.4703, recall: 0.953, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.211, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.988, kappa: 0.9333, kb_relative_information_score: 1808.1882, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.991, kappa: 0.9498, kb_relative_information_score: 1864.7447, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.4703, recall: 0.991, relative_absolute_error: 0.0493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.2958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.992, kappa: 0.9552, kb_relative_information_score: 1881.7207, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9926, kappa: 0.959, kb_relative_information_score: 1844.4687, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9927, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9944, kappa: 0.9688, kb_relative_information_score: 1900.9679, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9939, kappa: 0.9661, kb_relative_information_score: 1889.7633, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.4703, recall: 0.994, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9842, kappa: 0.9134, kb_relative_information_score: 1756.9274, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9846, predictive_accuracy: 0.984, prior_entropy: 0.4703, recall: 0.984, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.993, kappa: 0.9615, kb_relative_information_score: 1826.8268, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0698, root_relative_squared_error: 0.2326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.973, kappa: 0.8554, kb_relative_information_score: 1584.0263, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9752, predictive_accuracy: 0.972, prior_entropy: 0.4703, recall: 0.972, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.998, kappa: 0.9888, kb_relative_information_score: 1946.1069, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9905, kappa: 0.9469, kb_relative_information_score: 1818.4991, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9893, kappa: 0.9397, kb_relative_information_score: 1740.6347, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.4703, recall: 0.9895, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: -2.1702, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.995, kappa: 0.972, kb_relative_information_score: 1863.4516, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9965, kappa: 0.9803, kb_relative_information_score: 1886.8996, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.1994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9934, kappa: 0.9632, kb_relative_information_score: 1837.0865, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9929, kappa: 0.96, kb_relative_information_score: 1773.5295, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.4703, recall: 0.993, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.989, kappa: 0.9389, kb_relative_information_score: 1827.213, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.989, kappa: 0.9389, kb_relative_information_score: 1827.213, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.989, predictive_accuracy: 0.989, prior_entropy: 0.4703, recall: 0.989, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.3498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.954, kappa: 0.7661, kb_relative_information_score: 1262.735, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9629, predictive_accuracy: 0.9505, prior_entropy: 0.4703, recall: 0.9505, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4226, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.1286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9944, kappa: 0.9688, kb_relative_information_score: 1913.4836, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9791, kappa: 0.8868, kb_relative_information_score: 1651.1348, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9803, predictive_accuracy: 0.9785, prior_entropy: 0.4703, recall: 0.9785, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9561, kappa: 0.7749, kb_relative_information_score: 1277.2991, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9638, predictive_accuracy: 0.953, prior_entropy: 0.4703, recall: 0.953, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.7074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9949, kappa: 0.9716, kb_relative_information_score: 1920.86, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9427, kappa: 0.7177, kb_relative_information_score: 1061.6657, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.937, prior_entropy: 0.4703, recall: 0.937, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9545, kappa: 0.768, kb_relative_information_score: 1267.5316, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9631, predictive_accuracy: 0.951, prior_entropy: 0.4703, recall: 0.951, relative_absolute_error: 0.2725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.8526, kb_relative_information_score: 0.2112, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9944, kappa: 0.9688, kb_relative_information_score: 1734.7051, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.992, kappa: 0.9554, kb_relative_information_score: 1876.6017, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.2981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 1280.301, usercpu_time_millis: 1421.875, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 1280.301, usercpu_time_millis: 1484.375, usercpu_time_millis_testing: 484.375, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1461.2356, usercpu_time_millis: 22875, usercpu_time_millis_testing: 8593.75, usercpu_time_millis_training: 14281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1461.2356, usercpu_time_millis: 5062.5, usercpu_time_millis_testing: 2671.875, usercpu_time_millis_training: 2390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1951.2919, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.147, scimark_benchmark: 1787.9841, usercpu_time_millis: 61578.125, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 61296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9889, kb_relative_information_score: 1951.2919, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.4703, recall: 0.998, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.147, scimark_benchmark: 1665.2089, usercpu_time_millis: 61920, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 61760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8526, kb_relative_information_score: 519.35, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.9, prior_entropy: 0.4703, recall: 0.9, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541, scimark_benchmark: 1659.4108, usercpu_time_millis: 3680, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 2510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9975, kappa: 0.986, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 1354.7811, usercpu_time_millis: 1750, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 1110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9925, kappa: 0.9582, kb_relative_information_score: 1869.582, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.2858, scimark_benchmark: 1788.6668, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9925, kappa: 0.9581, kb_relative_information_score: 1874.0764, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.2608, scimark_benchmark: 1788.6668, usercpu_time_millis: 828.125, usercpu_time_millis_training: 828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9935, kappa: 0.9638, kb_relative_information_score: 1826.247, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.4703, recall: 0.9935, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2661, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.996, kappa: 0.9774, kb_relative_information_score: 1935.6127, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.4703, recall: 0.996, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.2108, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9985, kappa: 0.9916, kb_relative_information_score: 1972.4945, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.4703, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0387, root_relative_squared_error: 0.1291, scimark_benchmark: 1229.4978, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.995, kappa: 0.9722, kb_relative_information_score: 1906.3039, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2237, scimark_benchmark: 925.6307, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.988, kappa: 0.9333, kb_relative_information_score: 1808.1882, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.3631, scimark_benchmark: 991.1285, usercpu_time_millis: 1290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9965, kappa: 0.9804, kb_relative_information_score: 1906.1878, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1929, scimark_benchmark: 1447.2612, usercpu_time_millis: 843.75, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.992, kappa: 0.9559, kb_relative_information_score: 1887.678, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.4703, recall: 0.992, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2297, scimark_benchmark: 1840.6094, usercpu_time_millis: 671.875, usercpu_time_millis_testing: 375, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9906, kappa: 0.9487, kb_relative_information_score: 1869.8058, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.991, predictive_accuracy: 0.9905, prior_entropy: 0.4703, recall: 0.9905, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.2415, scimark_benchmark: 1840.6094, usercpu_time_millis: 3453.125, usercpu_time_millis_testing: 3453.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9925, kappa: 0.9588, kb_relative_information_score: 1807.5353, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9926, predictive_accuracy: 0.9925, prior_entropy: 0.4703, recall: 0.9925, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.248, scimark_benchmark: 1873.1108, usercpu_time_millis: 5703.125, usercpu_time_millis_testing: 5703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.997, kappa: 0.9832, kb_relative_information_score: 1900.2095, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.4703, recall: 0.997, relative_absolute_error: 0.0328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1862, scimark_benchmark: 1873.1108, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 406.25, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9945, kappa: 0.9695, kb_relative_information_score: 1838.8422, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 0.4703, recall: 0.9945, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.2256, scimark_benchmark: 1873.1108, usercpu_time_millis: 4984.375, usercpu_time_millis_testing: 4984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9949, kappa: 0.9716, kb_relative_information_score: 1920.86, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.4703, recall: 0.995, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9955, kappa: 0.9745, kb_relative_information_score: 1928.2363, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9965, kappa: 0.9802, kb_relative_information_score: 1942.9891, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.4703, recall: 0.9965, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9955, kappa: 0.9746, kb_relative_information_score: 1928.2363, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.4703, recall: 0.9955, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.2236, scimark_benchmark: 1870.7932, usercpu_time_millis: 312.002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 296.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9975, kappa: 0.9861, kb_relative_information_score: 1957.7418, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.4703, recall: 0.9975, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1667, scimark_benchmark: 1870.7932, usercpu_time_millis: 296.4019, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9879, kappa: 0.9318, kb_relative_information_score: 1755.2614, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1803, number_of_instances: 2000, precision: 0.9879, predictive_accuracy: 0.988, prior_entropy: 0.4703, recall: 0.988, relative_absolute_error: 0.1044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3545, scimark_benchmark: 1870.7932, usercpu_time_millis: 265.2017, usercpu_time_millis_training: 265.2017,

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