Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 11 Supervised Classification balance-scale 25237 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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25237 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, build_cpu_time: 7.7214, build_memory: 1814310882.3552, f_measure: 0.8386, kappa: 0.7292, kb_relative_information_score: 356.673, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8293, predictive_accuracy: 0.848, prior_entropy: 1.3212, recall: 0.848, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.6228, scimark_benchmark: 941.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, build_cpu_time: 15.5527, build_memory: 1906297948.6208, f_measure: 0.837, kappa: 0.7263, kb_relative_information_score: 356.9772, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8278, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.6213, scimark_benchmark: 885.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 0.2159, build_memory: 1530057132.4288, f_measure: 0.8182, kappa: 0.6697, kb_relative_information_score: 356.582, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8271, predictive_accuracy: 0.8096, prior_entropy: 1.3212, recall: 0.8096, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.655, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, build_cpu_time: 0.0786, build_memory: 189160598.6816, f_measure: 0.8185, kappa: 0.6739, kb_relative_information_score: 359.2573, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8245, predictive_accuracy: 0.8128, prior_entropy: 1.3212, recall: 0.8128, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6593, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 0.0201, build_memory: 814493329.024, f_measure: 0.8221, kappa: 0.6837, kb_relative_information_score: 369.8555, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8253, predictive_accuracy: 0.8192, prior_entropy: 1.3212, recall: 0.8192, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6651, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, build_cpu_time: 0.0364, build_memory: 1100080483.6224, f_measure: 0.8213, kappa: 0.7262, kb_relative_information_score: 326.4764, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7936, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.275, root_relative_squared_error: 0.6313, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.0743, build_memory: 2285604775.6928, f_measure: 0.8199, kappa: 0.7256, kb_relative_information_score: 326.0264, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.631, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 0.0749, build_memory: 2635086717.1072, f_measure: 0.8199, kappa: 0.7256, kb_relative_information_score: 326.0264, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.791, predictive_accuracy: 0.8512, prior_entropy: 1.3212, recall: 0.8512, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.631, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.1146, build_memory: 1683082927.1424, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 325.5405, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.627, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, build_cpu_time: 0.1324, build_memory: 873080746.4576, f_measure: 0.8284, kappa: 0.743, kb_relative_information_score: 325.5405, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.8608, prior_entropy: 1.3212, recall: 0.8608, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.627, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1966, build_memory: 245052581.312, f_measure: 0.8294, kappa: 0.7457, kb_relative_information_score: 325.0594, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7989, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.6254, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 2.5547, build_memory: 2104734518.3744, f_measure: 0.8303, kappa: 0.7507, kb_relative_information_score: 210.1881, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7978, predictive_accuracy: 0.8656, prior_entropy: 1.3212, recall: 0.8656, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7488, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, build_cpu_time: 1.2179, build_memory: 1342991383.8208, f_measure: 0.8319, kappa: 0.7537, kb_relative_information_score: 210.0204, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7994, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.7497, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.673, build_memory: 831317236.032, f_measure: 0.8273, kappa: 0.7448, kb_relative_information_score: 209.9841, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7951, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.75, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.9795, build_memory: 494806753.1648, f_measure: 0.8273, kappa: 0.7448, kb_relative_information_score: 209.9841, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7951, predictive_accuracy: 0.8624, prior_entropy: 1.3212, recall: 0.8624, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.75, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, build_cpu_time: 0.376, build_memory: 885197988.1088, f_measure: 0.8367, kappa: 0.7626, kb_relative_information_score: 210.3037, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8048, predictive_accuracy: 0.872, prior_entropy: 1.3212, recall: 0.872, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.327, root_relative_squared_error: 0.7507, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 0.1876, build_memory: 461997691.4176, f_measure: 0.8338, kappa: 0.7567, kb_relative_information_score: 209.9104, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.803, predictive_accuracy: 0.8688, prior_entropy: 1.3212, recall: 0.8688, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7565, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 0.0768, build_memory: 51177836.3136, f_measure: 0.6839, kappa: 0.4578, kb_relative_information_score: 300.2935, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6744, predictive_accuracy: 0.704, prior_entropy: 1.3212, recall: 0.704, relative_absolute_error: 0.5293, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.7179, scimark_benchmark: 942.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, build_cpu_time: 0.0005, build_memory: 98062612.864, f_measure: 0.8318, kappa: 0.7537, kb_relative_information_score: 432.0024, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7992, predictive_accuracy: 0.8672, prior_entropy: 1.3212, recall: 0.8672, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6831, scimark_benchmark: 946.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, build_cpu_time: 0.0065, build_memory: 812680201.472, f_measure: 0.7523, kappa: 0.5816, kb_relative_information_score: 311.6665, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7392, predictive_accuracy: 0.768, prior_entropy: 1.3212, recall: 0.768, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8354, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, build_cpu_time: 0.0006, build_memory: 537787161.344, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, build_cpu_time: 0.0006, build_memory: 227166434.944, f_measure: 0.5589, kappa: 0.2285, kb_relative_information_score: 162.8378, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.5381, predictive_accuracy: 0.584, prior_entropy: 1.3212, recall: 0.584, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.209, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, build_cpu_time: 0.008, build_memory: 166308369.088, f_measure: 0.6918, kappa: 0.4837, kb_relative_information_score: 155.6026, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6657, predictive_accuracy: 0.7216, prior_entropy: 1.3212, recall: 0.7216, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.8239, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.0208, build_memory: 693059852.3392, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, build_cpu_time: 0.022, build_memory: 591837371.264, f_measure: 0.8141, kappa: 0.7161, kb_relative_information_score: 327.688, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7849, predictive_accuracy: 0.8464, prior_entropy: 1.3212, recall: 0.8464, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6403, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.0006, build_memory: 480357680, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 294.9261, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.278, root_relative_squared_error: 0.6383, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, build_cpu_time: 0.0275, build_memory: 520603663.1168, f_measure: 0.9015, kappa: 0.8207, kb_relative_information_score: 486.0961, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9096, predictive_accuracy: 0.896, prior_entropy: 1.3212, recall: 0.896, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.4801, scimark_benchmark: 941.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 0.0258, build_memory: 314438092.9408, f_measure: 0.8487, kappa: 0.7864, kb_relative_information_score: 214.0749, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8155, predictive_accuracy: 0.8848, prior_entropy: 1.3212, recall: 0.8848, relative_absolute_error: 0.6984, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7856, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.1642, build_memory: 171844285.0176, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.0006, build_memory: 381360912.5248, f_measure: 0.8532, kappa: 0.7756, kb_relative_information_score: 358.5452, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8342, predictive_accuracy: 0.8768, prior_entropy: 1.3212, recall: 0.8768, relative_absolute_error: 0.3781, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.6367, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, build_cpu_time: 0.0417, build_memory: 456996730.88, f_measure: 0.7689, kappa: 0.632, kb_relative_information_score: 319.2449, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7398, predictive_accuracy: 0.8016, prior_entropy: 1.3212, recall: 0.8016, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7714, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, build_cpu_time: 0.1301, build_memory: 639936985.8688, f_measure: 0.8235, kappa: 0.6784, kb_relative_information_score: 357.7287, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8328, predictive_accuracy: 0.8144, prior_entropy: 1.3212, recall: 0.8144, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.6554, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 0.0108, build_memory: 202662090.0864, f_measure: 0.6845, kappa: 0.4688, kb_relative_information_score: 248.8813, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.6584, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.7331, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.5578, build_memory: 1935742701.9648, f_measure: 0.7963, kappa: 0.6207, kb_relative_information_score: 348.9956, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8167, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8366, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.9276, build_memory: 2551894035.8144, f_measure: 0.7912, kappa: 0.614, kb_relative_information_score: 346.8031, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8089, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8607, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, build_cpu_time: 1.793, build_memory: 920769887.7312, f_measure: 0.7858, kappa: 0.5982, kb_relative_information_score: 332.0846, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8097, predictive_accuracy: 0.7632, prior_entropy: 1.3212, recall: 0.7632, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8982, scimark_benchmark: 924.2934,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1469, build_memory: 1012511181.5296, f_measure: 0.8226, kappa: 0.6798, kb_relative_information_score: 355.813, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8296, predictive_accuracy: 0.816, prior_entropy: 1.3212, recall: 0.816, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6511, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1858, build_memory: 516262377.8048, f_measure: 0.8226, kappa: 0.6798, kb_relative_information_score: 355.813, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8296, predictive_accuracy: 0.816, prior_entropy: 1.3212, recall: 0.816, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6511, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1424, build_memory: 1617379424.0896, f_measure: 0.8226, kappa: 0.6798, kb_relative_information_score: 355.813, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8296, predictive_accuracy: 0.816, prior_entropy: 1.3212, recall: 0.816, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6511, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1313, build_memory: 1109196351.3728, f_measure: 0.8226, kappa: 0.6798, kb_relative_information_score: 355.813, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8296, predictive_accuracy: 0.816, prior_entropy: 1.3212, recall: 0.816, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6511, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 0.1295, build_memory: 1115069324.4544, f_measure: 0.8226, kappa: 0.6798, kb_relative_information_score: 355.813, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8296, predictive_accuracy: 0.816, prior_entropy: 1.3212, recall: 0.816, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.6511, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.0022, build_memory: 1250661604.1216, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.0038, build_memory: 1411967655.7952, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.0046, build_memory: 1923822180.0704, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.006, build_memory: 2140158634.752, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, build_cpu_time: 0.0076, build_memory: 480957372.8384, f_measure: 0.7961, kappa: 0.6222, kb_relative_information_score: 349.6968, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8139, predictive_accuracy: 0.7792, prior_entropy: 1.3212, recall: 0.7792, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.8808, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.0471, build_memory: 176629459.5072, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.042, build_memory: 1038839342.1824, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.0399, build_memory: 97854697.7408, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 384.5811, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.6574, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, build_cpu_time: 0.0314, build_memory: 220114953.7152, f_measure: 0.824, kappa: 0.6908, kb_relative_information_score: 385.1677, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 1.3212, recall: 0.824, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6558, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, build_cpu_time: 0.0288, build_memory: 105145089.7024, f_measure: 0.8259, kappa: 0.6998, kb_relative_information_score: 382.572, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8216, predictive_accuracy: 0.8304, prior_entropy: 1.3212, recall: 0.8304, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.6439, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1866, build_memory: 533675000.0128, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1782, build_memory: 1009753257.9584, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1446, build_memory: 1011577426.6112, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1337, build_memory: 878952257.7152, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 0.1634, build_memory: 683615245.7856, f_measure: 0.8479, kappa: 0.7836, kb_relative_information_score: 447.316, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8153, predictive_accuracy: 0.8832, prior_entropy: 1.3212, recall: 0.8832, relative_absolute_error: 0.3087, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5259, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8426, kappa: 0.7745, kb_relative_information_score: 211.534, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8095, predictive_accuracy: 0.8784, prior_entropy: 1.3212, recall: 0.8784, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7904, scimark_benchmark: 935.4866, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.6769, kappa: 0.4529, kb_relative_information_score: 275.4378, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.652, predictive_accuracy: 0.704, prior_entropy: 1.3212, recall: 0.704, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.7225, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7963, kappa: 0.6207, kb_relative_information_score: 348.9956, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8167, predictive_accuracy: 0.7776, prior_entropy: 1.3212, recall: 0.7776, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.8366, scimark_benchmark: 917.1386, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.7912, kappa: 0.614, kb_relative_information_score: 346.8031, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8089, predictive_accuracy: 0.7744, prior_entropy: 1.3212, recall: 0.7744, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8607, scimark_benchmark: 932.3943, usercpu_time_millis: 1010, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7734, kappa: 0.5774, kb_relative_information_score: 322.6775, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.7984, predictive_accuracy: 0.7504, prior_entropy: 1.3212, recall: 0.7504, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.9315, scimark_benchmark: 1119.693, usercpu_time_millis: 960, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 900,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs