Task
Supervised Classification on glass

Supervised Classification on glass

Task 40 Supervised Classification glass 684 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0051, build_memory: 1440592826.3178, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0077, build_memory: 1211137104.7103, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.1099, build_memory: 1716360539.5514, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0196, build_memory: 2096455629.9813, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0117, build_memory: 1412540592, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0192, build_memory: 390337071.0654, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.012, build_memory: 364116624.7477, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0028, build_memory: 755082780.3364, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0044, build_memory: 1389775336.3738, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, build_cpu_time: 0.1234, build_memory: 660236964.2991, f_measure: 0.7924, kappa: 0.7232, kb_relative_information_score: 136.0101, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.797, predictive_accuracy: 0.7991, prior_entropy: 2.2315, recall: 0.7991, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.651, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, build_cpu_time: 0.0028, build_memory: 396581355.514, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7695, kappa: 0.688, kb_relative_information_score: 148.0116, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7728, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.7821, scimark_benchmark: 876.8277, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7513, kappa: 0.6615, kb_relative_information_score: 125.476, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7557, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.7084, scimark_benchmark: 929.566, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.7434, kappa: 0.6546, kb_relative_information_score: 132.3465, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7445, predictive_accuracy: 0.7477, prior_entropy: 2.2315, recall: 0.7477, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7044, scimark_benchmark: 943.2817, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 29.7793, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, build_cpu_time: 0.2279, build_memory: 641680547.6636, f_measure: 0.545, kappa: 0.401, kb_relative_information_score: 14.8521, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5342, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0014, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7273, kappa: 0.635, kb_relative_information_score: 126.8852, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7305, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.76, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.7652, kappa: 0.6867, kb_relative_information_score: 147.8998, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7677, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7257, scimark_benchmark: 930.32, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.7877, kappa: 0.7126, kb_relative_information_score: 151.9249, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7908, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.7344, scimark_benchmark: 923.3111, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7687, kappa: 0.6884, kb_relative_information_score: 147.2012, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7702, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.7883, scimark_benchmark: 1174.6686, usercpu_time_millis: 1140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 910.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 6.5045, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0475, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.329, root_relative_squared_error: 1.0141, scimark_benchmark: 935.4866, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.688, kappa: 0.5803, kb_relative_information_score: 125.1508, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7026, predictive_accuracy: 0.7009, prior_entropy: 2.2315, recall: 0.7009, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7452, scimark_benchmark: 929.0255, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.756, kappa: 0.669, kb_relative_information_score: 142.7037, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.76, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.6755, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7546, kappa: 0.6682, kb_relative_information_score: 145.6445, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.757, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7929, scimark_benchmark: 947.0793, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, build_cpu_time: 37.4939, build_memory: 890736340.2617, f_measure: 0.7388, kappa: 0.6457, kb_relative_information_score: 137.6855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7406, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.6795, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, build_cpu_time: 18.4674, build_memory: 206835586.5421, f_measure: 0.7641, kappa: 0.6788, kb_relative_information_score: 138.3944, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.765, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.219, root_relative_squared_error: 0.6751, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, build_cpu_time: 0.1342, build_memory: 1765600620.5234, f_measure: 0.7484, kappa: 0.6621, kb_relative_information_score: 131.6079, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7021, scimark_benchmark: 943.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 0.0074, build_memory: 16919564.8972, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 124.9449, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878, scimark_benchmark: 947.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, build_cpu_time: 0.0708, build_memory: 672534996.0748, f_measure: 0.7286, kappa: 0.6376, kb_relative_information_score: 129.673, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7346, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7201, scimark_benchmark: 947.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.6851, kappa: 0.5875, kb_relative_information_score: 126.892, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6894, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7747, scimark_benchmark: 945.0885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7372, kappa: 0.6537, kb_relative_information_score: 122.7561, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7594, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7113, scimark_benchmark: 916.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631, scimark_benchmark: 935.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.4964, kappa: 0.3401, kb_relative_information_score: 15.1787, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4669, predictive_accuracy: 0.5374, prior_entropy: 2.2315, recall: 0.5374, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3347, root_relative_squared_error: 1.0316, scimark_benchmark: 945.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.2916, kappa: 0.2399, kb_relative_information_score: 68.3595, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3848, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.9047, scimark_benchmark: 926.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.364, kappa: 0.2776, kb_relative_information_score: 57.3964, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4371, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.9335, scimark_benchmark: 904.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7484, kappa: 0.6621, kb_relative_information_score: 131.6079, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.752, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7021, scimark_benchmark: 935.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7, kappa: 0.597, kb_relative_information_score: 84.3458, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7033, predictive_accuracy: 0.7103, prior_entropy: 2.2315, recall: 0.7103, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.269, root_relative_squared_error: 0.8291, scimark_benchmark: 946.8725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, build_cpu_time: 0.0009, build_memory: 519883856, f_measure: 0.4843, kappa: 0.3254, kb_relative_information_score: 76.4981, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4547, predictive_accuracy: 0.528, prior_entropy: 2.2315, recall: 0.528, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3672, root_relative_squared_error: 1.1318, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 0.0158, build_memory: 454363049.7944, f_measure: 0.7512, kappa: 0.678, kb_relative_information_score: 122.9408, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7706, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7188, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.001, build_memory: 216513751.8505, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.0006, build_memory: 298409901.9813, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, build_cpu_time: 0.0009, build_memory: 199545228.3738, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0783, build_memory: 885302598.7664, f_measure: 0.1861, kb_relative_information_score: 6.5045, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0475, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.329, root_relative_squared_error: 1.0141, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, build_cpu_time: 0.0698, build_memory: 287956732.9346, f_measure: 0.6426, kappa: 0.5233, kb_relative_information_score: 114.0374, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6341, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8302, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, build_cpu_time: 0.0704, build_memory: 659933982.6542, f_measure: 0.5368, kappa: 0.392, kb_relative_information_score: 28.0778, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5425, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.9732, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, build_cpu_time: 0.0003, build_memory: 933689567.6262, f_measure: 0.6865, kappa: 0.5754, kb_relative_information_score: 125.0606, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6895, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9064, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, build_cpu_time: 0.0203, build_memory: 63571155.8879, f_measure: 0.6542, kappa: 0.547, kb_relative_information_score: 111.1283, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8396, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, build_cpu_time: 0.0019, build_memory: 181017617.5701, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 0.1654, build_memory: 1406193269.0467, f_measure: 0.7652, kappa: 0.6867, kb_relative_information_score: 147.8998, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7677, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7257, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.6861, kappa: 0.59, kb_relative_information_score: 129.6517, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.681, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.8525, scimark_benchmark: 940.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.7286, kappa: 0.6376, kb_relative_information_score: 129.673, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7346, predictive_accuracy: 0.7336, prior_entropy: 2.2315, recall: 0.7336, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7201, scimark_benchmark: 944.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 938.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.657, kappa: 0.5349, kb_relative_information_score: 117.3876, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6563, predictive_accuracy: 0.6589, prior_entropy: 2.2315, recall: 0.6589, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8669, scimark_benchmark: 948.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.3558, kappa: 0.2715, kb_relative_information_score: 57.3234, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4412, predictive_accuracy: 0.472, prior_entropy: 2.2315, recall: 0.472, relative_absolute_error: 0.8681, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.9316, scimark_benchmark: 918.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7523, kappa: 0.6651, kb_relative_information_score: 144.532, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7536, predictive_accuracy: 0.757, prior_entropy: 2.2315, recall: 0.757, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.7927, scimark_benchmark: 938.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.7822, kappa: 0.7044, kb_relative_information_score: 148.455, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.785, predictive_accuracy: 0.785, prior_entropy: 2.2315, recall: 0.785, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7392, scimark_benchmark: 943.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.6726, kappa: 0.5538, kb_relative_information_score: 124.1985, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.674, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, scimark_benchmark: 919.6837,

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