OpenML
Supervised Classification on fri_c2_100_50

Supervised Classification on fri_c2_100_50

Task 3785 Supervised Classification fri_c2_100_50 554 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, build_cpu_time: 0.0798, build_memory: 381828088, f_measure: 0.7311, kappa: 0.4512, kb_relative_information_score: 32.9128, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7335, predictive_accuracy: 0.73, prior_entropy: 0.9822, recall: 0.73, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9247, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, build_cpu_time: 0.1716, build_memory: 520048472, f_measure: 0.6816, kappa: 0.3517, kb_relative_information_score: 28.7175, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6853, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9458, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, build_cpu_time: 0.1674, build_memory: 782908250.4, f_measure: 0.6816, kappa: 0.3517, kb_relative_information_score: 28.7175, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6853, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9458, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, build_cpu_time: 0.3026, build_memory: 462637956, f_measure: 0.7015, kappa: 0.3922, kb_relative_information_score: 28.5812, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7052, predictive_accuracy: 0.7, prior_entropy: 0.9822, recall: 0.7, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9448, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, build_cpu_time: 0.3004, build_memory: 777755841.6, f_measure: 0.7015, kappa: 0.3922, kb_relative_information_score: 28.5812, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7052, predictive_accuracy: 0.7, prior_entropy: 0.9822, recall: 0.7, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9448, scimark_benchmark: 929.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, build_cpu_time: 0.6582, build_memory: 568692759.2, f_measure: 0.7214, kappa: 0.4327, kb_relative_information_score: 28.6649, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.725, predictive_accuracy: 0.72, prior_entropy: 0.9822, recall: 0.72, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9508, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 1.2791, build_memory: 3303778052, f_measure: 0.6705, kappa: 0.3249, kb_relative_information_score: 27.9208, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6711, predictive_accuracy: 0.67, prior_entropy: 0.9822, recall: 0.67, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9584, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 0.2414, build_memory: 491378196, f_measure: 0.8502, kappa: 0.6931, kb_relative_information_score: 58.1632, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6492, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, build_cpu_time: 0.1311, build_memory: 745458670.4, f_measure: 0.8502, kappa: 0.6931, kb_relative_information_score: 58.3455, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6482, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, build_cpu_time: 0.072, build_memory: 590941205.6, f_measure: 0.8506, kappa: 0.6951, kb_relative_information_score: 58.5841, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8527, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.449, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6517, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 0.0065, build_memory: 1026291538.4, f_measure: 0.8303, kappa: 0.6522, kb_relative_information_score: 40.802, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7538, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 0.0067, build_memory: 727864661.6, f_measure: 0.8303, kappa: 0.6522, kb_relative_information_score: 40.802, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8307, predictive_accuracy: 0.83, prior_entropy: 0.9822, recall: 0.83, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7538, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.0189, build_memory: 367241041.6, f_measure: 0.8491, kappa: 0.6891, kb_relative_information_score: 38.1119, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8498, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.751, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.0261, build_memory: 528420095.2, f_measure: 0.8996, kappa: 0.7934, kb_relative_information_score: 39.454, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9822, recall: 0.9, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7306, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, build_cpu_time: 4.1543, build_memory: 619764353.6, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 32.6776, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7685, scimark_benchmark: 943.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 1.2944, build_memory: 1560699492.8, f_measure: 0.88, kappa: 0.7537, kb_relative_information_score: 33.0935, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7667, scimark_benchmark: 911.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, build_cpu_time: 0.3945, build_memory: 1222535137.6, f_measure: 0.8588, kappa: 0.7088, kb_relative_information_score: 35.0033, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8605, predictive_accuracy: 0.86, prior_entropy: 0.9822, recall: 0.86, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.7565, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, build_cpu_time: 0.0099, build_memory: 464436753.6, f_measure: 0.9003, kappa: 0.7961, kb_relative_information_score: 67.1314, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9013, predictive_accuracy: 0.9, prior_entropy: 0.9822, recall: 0.9, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6175, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 0.0294, build_memory: 920170257.6, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 66.799, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6238, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 0.0368, build_memory: 516710275.2, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 66.799, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6238, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, build_cpu_time: 0.0325, build_memory: 903394859.2, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 66.799, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3529, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6238, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, build_cpu_time: 0.056, build_memory: 189954052.8, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 67.8804, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6101, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, build_cpu_time: 0.0406, build_memory: 663107268.8, f_measure: 0.8902, kappa: 0.775, kb_relative_information_score: 67.8804, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8905, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6101, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.2214, build_memory: 635085364, f_measure: 0.8209, kappa: 0.6353, kb_relative_information_score: 38.7408, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8244, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7726, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.2012, build_memory: 412649663.2, f_measure: 0.8209, kappa: 0.6353, kb_relative_information_score: 38.7408, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8244, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7726, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, build_cpu_time: 0.1559, build_memory: 2011576871.2, f_measure: 0.78, kappa: 0.5484, kb_relative_information_score: 41.3932, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8429, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, build_cpu_time: 0.1574, build_memory: 1525220891.2, f_measure: 0.78, kappa: 0.5484, kb_relative_information_score: 41.3932, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8429, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 0.0149, build_memory: 1231410836.8, f_measure: 0.7814, kappa: 0.5497, kb_relative_information_score: 58.0483, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8032, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8407, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, build_cpu_time: 146.262, build_memory: 317307237.6, f_measure: 0.7112, kappa: 0.4106, kb_relative_information_score: 29.0723, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7136, predictive_accuracy: 0.71, prior_entropy: 0.9822, recall: 0.71, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9485, scimark_benchmark: 929.7873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, build_cpu_time: 256.0753, build_memory: 153479001.6, f_measure: 0.6816, kappa: 0.3517, kb_relative_information_score: 28.0638, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6853, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.7289, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9552, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, build_cpu_time: 2.9737, build_memory: 749237801.6, f_measure: 0.6809, kappa: 0.3475, kb_relative_information_score: 33.614, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.6824, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.1443, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, build_cpu_time: 0.0207, build_memory: 408009182.4, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 54.6168, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7129, scimark_benchmark: 998.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, build_cpu_time: 0.0103, build_memory: 2998071021.6, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 54.7106, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.713, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, build_cpu_time: 0.0052, build_memory: 2454743635.2, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 54.7972, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7113, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, build_cpu_time: 0.4011, build_memory: 208942911.2, f_measure: 0.68, kappa: 0.3432, kb_relative_information_score: 35.0754, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.68, predictive_accuracy: 0.68, prior_entropy: 0.9822, recall: 0.68, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.1107, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, build_cpu_time: 0.002, build_memory: 823532068, f_measure: 0.84, kappa: 0.6716, kb_relative_information_score: 54.2778, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9822, recall: 0.84, relative_absolute_error: 0.487, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7146, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 0.002, build_memory: 392705876.8, f_measure: 0.8497, kappa: 0.6911, kb_relative_information_score: 55.4338, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8496, predictive_accuracy: 0.85, prior_entropy: 0.9822, recall: 0.85, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7145, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, build_cpu_time: 0.6617, build_memory: 3340463550.4, f_measure: 0.82, kappa: 0.6305, kb_relative_information_score: 45.8978, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9822, recall: 0.82, relative_absolute_error: 0.5731, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7497, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 1.6254, build_memory: 796203207.2, f_measure: 0.7896, kappa: 0.5675, kb_relative_information_score: 42.1824, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7894, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7776, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, build_cpu_time: 1.4184, build_memory: 368704852, f_measure: 0.7896, kappa: 0.5675, kb_relative_information_score: 42.1824, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7894, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7776, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, build_cpu_time: 3.0053, build_memory: 82906727.2, f_measure: 0.7903, kappa: 0.5704, kb_relative_information_score: 42.845, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7908, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7648, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, build_cpu_time: 5.1769, build_memory: 104424244, f_measure: 0.7908, kappa: 0.5732, kb_relative_information_score: 41.9511, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7931, predictive_accuracy: 0.79, prior_entropy: 0.9822, recall: 0.79, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7726, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, build_cpu_time: 11.0455, build_memory: 146546103.2, f_measure: 0.7806, kappa: 0.5514, kb_relative_information_score: 42.0245, mean_absolute_error: 0.2974, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.7819, predictive_accuracy: 0.78, prior_entropy: 0.9822, recall: 0.78, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7735, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0271, build_memory: 1539279986.4, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0208, build_memory: 2227301740.8, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0229, build_memory: 665826881.6, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0243, build_memory: 1266963657.6, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0309, build_memory: 1366805972, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, build_cpu_time: 0.0286, build_memory: 2805414064, f_measure: 0.8103, kappa: 0.6113, kb_relative_information_score: 50.0972, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9822, recall: 0.81, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7988, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, build_cpu_time: 1.0143, build_memory: 199165034.4, f_measure: 0.9085, kappa: 0.8109, kb_relative_information_score: 60.6315, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.9166, predictive_accuracy: 0.91, prior_entropy: 0.9822, recall: 0.91, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6293, scimark_benchmark: 942.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, build_cpu_time: 0.3636, build_memory: 797490796, f_measure: 0.879, kappa: 0.7504, kb_relative_information_score: 64.3144, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.615, scimark_benchmark: 947.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 0.1633, build_memory: 910054808.8, f_measure: 0.8692, kappa: 0.7305, kb_relative_information_score: 64.4688, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9822, recall: 0.87, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6102, scimark_benchmark: 927.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, build_cpu_time: 0.0914, build_memory: 286183164, f_measure: 0.879, kappa: 0.7504, kb_relative_information_score: 64.791, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9822, recall: 0.88, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6082, scimark_benchmark: 944.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, build_cpu_time: 0.041, build_memory: 3633431539.2, f_measure: 0.8888, kappa: 0.7705, kb_relative_information_score: 64.5162, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4875, number_of_instances: 100, precision: 0.8923, predictive_accuracy: 0.89, prior_entropy: 0.9822, recall: 0.89, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6172, scimark_benchmark: 939.8016,

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