Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 26 Supervised Classification nursery 1271 runs submitted
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  • at2 basic study_1 study_107 study_41 study_7 study_70 under100k under1m
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1271 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 946.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 948.2201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.4938, kappa: 0.3995, kb_relative_information_score: 1062.1926, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4528, predictive_accuracy: 0.5989, prior_entropy: 1.7176, recall: 0.5989, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.978, scimark_benchmark: 946.5292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9421, kappa: 0.9158, kb_relative_information_score: 11695.9084, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.942, predictive_accuracy: 0.9426, prior_entropy: 1.7176, recall: 0.9426, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.3462, scimark_benchmark: 948.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9723, kappa: 0.9598, kb_relative_information_score: 12349.639, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 1.7176, recall: 0.9726, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.253, scimark_benchmark: 950.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9087, kappa: 0.8769, kb_relative_information_score: -63.5773, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9166, predictive_accuracy: 0.9168, prior_entropy: 1.7176, recall: 0.9168, relative_absolute_error: 1.0581, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9785, scimark_benchmark: 948.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 945.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8677, kappa: 0.8197, kb_relative_information_score: 7460.5494, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8701, predictive_accuracy: 0.8785, prior_entropy: 1.7176, recall: 0.8785, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.6857, scimark_benchmark: 946.8334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 948.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 948.6056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.5831, kappa: 0.4926, kb_relative_information_score: 1587.884, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.7865, predictive_accuracy: 0.6607, prior_entropy: 1.7176, recall: 0.6607, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9293, kappa: 0.9124, kb_relative_information_score: 2490.1033, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9189, predictive_accuracy: 0.9409, prior_entropy: 1.7176, recall: 0.9409, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.8746, scimark_benchmark: 948.4339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9995, kappa: 0.9994, kb_relative_information_score: 2964.2637, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9995, predictive_accuracy: 0.9996, prior_entropy: 1.7176, recall: 0.9996, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.856, scimark_benchmark: 949.2041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9917, kappa: 0.9877, kb_relative_information_score: 12785.4891, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7176, recall: 0.9916, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1466, scimark_benchmark: 910.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2976.9033, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 1, predictive_accuracy: 1, prior_entropy: 1.7176, recall: 1, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8555, scimark_benchmark: 946.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 949.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9773, kappa: 0.9674, kb_relative_information_score: 12216.7765, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9772, predictive_accuracy: 0.9778, prior_entropy: 1.7176, recall: 0.9778, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2359, scimark_benchmark: 940.7227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4083.7914, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 946.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9756, kappa: 0.965, kb_relative_information_score: 12217.9991, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9754, predictive_accuracy: 0.9762, prior_entropy: 1.7176, recall: 0.9762, relative_absolute_error: 0.0757, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.2364, scimark_benchmark: 948.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 945.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9854, kb_relative_information_score: 12716.2165, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 1.7176, recall: 0.99, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0628, root_relative_squared_error: 0.17, scimark_benchmark: 946.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 945.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9314, kappa: 0.8997, kb_relative_information_score: 2788.594, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9314, predictive_accuracy: 0.9316, prior_entropy: 1.7176, recall: 0.9316, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.867, scimark_benchmark: 947.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 947.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9718, kappa: 0.9592, kb_relative_information_score: 12330.881, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9716, predictive_accuracy: 0.9721, prior_entropy: 1.7176, recall: 0.9721, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.2547, scimark_benchmark: 943.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 946.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 944.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9404, kappa: 0.9131, kb_relative_information_score: 11668.9766, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9403, predictive_accuracy: 0.9407, prior_entropy: 1.7176, recall: 0.9407, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.3501, scimark_benchmark: 948.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9568, kappa: 0.9532, kb_relative_information_score: 8524.9884, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9699, predictive_accuracy: 0.9684, prior_entropy: 1.7176, recall: 0.9684, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.5214, scimark_benchmark: 944.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9296, kappa: 0.9105, kb_relative_information_score: 11503.504, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9338, predictive_accuracy: 0.9395, prior_entropy: 1.7176, recall: 0.9395, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.137, root_relative_squared_error: 0.3709, scimark_benchmark: 947.0271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9008, kappa: 0.869, kb_relative_information_score: 2406.2099, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8946, predictive_accuracy: 0.9117, prior_entropy: 1.7176, recall: 0.9117, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.8794, scimark_benchmark: 947.6899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9777, kappa: 0.9678, kb_relative_information_score: 12217.8329, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9775, predictive_accuracy: 0.9781, prior_entropy: 1.7176, recall: 0.9781, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.2356, scimark_benchmark: 945.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9762, kappa: 0.9658, kb_relative_information_score: 12217.3532, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.976, predictive_accuracy: 0.9767, prior_entropy: 1.7176, recall: 0.9767, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.2366, scimark_benchmark: 946.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9482, kappa: 0.9266, kb_relative_information_score: 11908.1774, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9508, predictive_accuracy: 0.9502, prior_entropy: 1.7176, recall: 0.9502, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.117, root_relative_squared_error: 0.3166, scimark_benchmark: 948.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 946.1643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 947.5743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9406, kappa: 0.9134, kb_relative_information_score: 11669.9199, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9406, predictive_accuracy: 0.9409, prior_entropy: 1.7176, recall: 0.9409, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.3499, scimark_benchmark: 949.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 948.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 947.7718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 375.4372, mean_absolute_error: 0.2812, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.017, scimark_benchmark: 946.5691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 948.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 4083.8203, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 947.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9998, kb_relative_information_score: 2976.2222, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9997, predictive_accuracy: 0.9998, prior_entropy: 1.7176, recall: 0.9998, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8559, scimark_benchmark: 948.9103,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9773, kappa: 0.9674, kb_relative_information_score: 12218.3752, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9772, predictive_accuracy: 0.9778, prior_entropy: 1.7176, recall: 0.9778, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2355, scimark_benchmark: 945.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 944.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8903, kappa: 0.8537, kb_relative_information_score: 6676.3405, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8799, predictive_accuracy: 0.9012, prior_entropy: 1.7176, recall: 0.9012, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.6504, scimark_benchmark: 945.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9364, kappa: 0.9065, kb_relative_information_score: 11832.5164, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.937, predictive_accuracy: 0.9361, prior_entropy: 1.7176, recall: 0.9361, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.378, scimark_benchmark: 2005.6264,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9248, kappa: 0.8899, kb_relative_information_score: 11338.4924, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9248, predictive_accuracy: 0.9249, prior_entropy: 1.7176, recall: 0.9249, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.3936, scimark_benchmark: 1997.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 6929.1896, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.7234, scimark_benchmark: 2018.3008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9716, kappa: 0.9595, kb_relative_information_score: 12193.0074, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9715, predictive_accuracy: 0.9725, prior_entropy: 1.7176, recall: 0.9725, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.2455, scimark_benchmark: 2019.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.7023, kappa: 0.5701, kb_relative_information_score: 7526.8842, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.6952, predictive_accuracy: 0.7097, prior_entropy: 1.7176, recall: 0.7097, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.9223, scimark_benchmark: 2013.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.971, kappa: 0.9579, kb_relative_information_score: 12313.3995, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.2581, scimark_benchmark: 2016.5911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9304, kappa: 0.8983, kb_relative_information_score: 2785.2059, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9303, predictive_accuracy: 0.9307, prior_entropy: 1.7176, recall: 0.9307, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8671, scimark_benchmark: 2012.3021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.1667, kb_relative_information_score: 0.279, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.3695, root_relative_squared_error: 1, scimark_benchmark: 1987.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8939, kappa: 0.859, kb_relative_information_score: 10129.6908, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.8841, predictive_accuracy: 0.9049, prior_entropy: 1.7176, recall: 0.9049, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.4827, scimark_benchmark: 1982.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9812, kappa: 0.9749, kb_relative_information_score: 10151.8021, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9831, predictive_accuracy: 0.9829, prior_entropy: 1.7176, recall: 0.9829, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3961, scimark_benchmark: 1994.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9598, kappa: 0.942, kb_relative_information_score: 12147.2096, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.273, number_of_instances: 12960, precision: 0.9593, predictive_accuracy: 0.9605, prior_entropy: 1.7176, recall: 0.9605, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2843, scimark_benchmark: 1992.0048,

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