OpenML
Supervised Classification on fri_c0_100_25

Supervised Classification on fri_c0_100_25

Task 3752 Supervised Classification fri_c0_100_25 579 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: 0.69, build_cpu_time: 0.0145, build_memory: 135248237.6, f_measure: 0.69, kappa: 0.38, kb_relative_information_score: 38, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6901, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1136, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, build_cpu_time: 0.0042, build_memory: 111410308, f_measure: 0.7399, kappa: 0.48, kb_relative_information_score: 47.7182, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0097, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, build_cpu_time: 0.0007, build_memory: 994491800, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 36.0423, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8329, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, build_cpu_time: 0.0133, build_memory: 770542054.4, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 30.4901, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8456, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, build_cpu_time: 0.0127, build_memory: 672835960.8, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 30.4901, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8456, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.0124, build_memory: 331951727.2, f_measure: 0.7694, kappa: 0.54, kb_relative_information_score: 47.8498, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7727, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.0129, build_memory: 196369001.6, f_measure: 0.7694, kappa: 0.54, kb_relative_information_score: 47.8498, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7727, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 0.0125, build_memory: 173859892.8, f_measure: 0.7694, kappa: 0.54, kb_relative_information_score: 47.8498, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7727, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.5392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, build_cpu_time: 0.0028, build_memory: 593388592, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, build_cpu_time: 0.002, build_memory: 1203564200, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, build_cpu_time: 0.0033, build_memory: 1333030920, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, build_cpu_time: 0.003, build_memory: 1408923861.6, f_measure: 0.6394, kappa: 0.28, kb_relative_information_score: 24.9129, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.6409, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1732, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0002, build_memory: 704540312, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0001, build_memory: 722435128, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.72, build_cpu_time: 0.0168, build_memory: 1412252832, f_measure: 0.719, kappa: 0.44, kb_relative_information_score: 44, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7232, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.0583, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, build_cpu_time: 0.1027, build_memory: 375570704.8, f_measure: 0.7498, kappa: 0.5, kb_relative_information_score: 44.7666, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7509, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8532, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, build_cpu_time: 0.1287, build_memory: 675367283.2, f_measure: 0.7796, kappa: 0.56, kb_relative_information_score: 42.4542, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, build_cpu_time: 0.0637, build_memory: 479576169.6, f_measure: 0.7796, kappa: 0.56, kb_relative_information_score: 42.4542, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, build_cpu_time: 0.0625, build_memory: 627448408, f_measure: 0.7796, kappa: 0.56, kb_relative_information_score: 42.4542, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7818, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8511, scimark_benchmark: 904.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.1282, build_memory: 821912236, f_measure: 0.7396, kappa: 0.48, kb_relative_information_score: 40.6461, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796, scimark_benchmark: 938.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.1244, build_memory: 785752701.6, f_measure: 0.7396, kappa: 0.48, kb_relative_information_score: 40.6461, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, build_cpu_time: 0.1221, build_memory: 972871580.8, f_measure: 0.7396, kappa: 0.48, kb_relative_information_score: 40.6461, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796, scimark_benchmark: 939.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, build_cpu_time: 0.4056, build_memory: 989872408, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 42.9431, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8369, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, build_cpu_time: 0.2369, build_memory: 497098554.4, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 42.9431, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8369, scimark_benchmark: 929.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, build_cpu_time: 0.9407, build_memory: 771561979.2, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 44.5482, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8233, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, build_cpu_time: 0.1592, build_memory: 1172897655.2, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.4657, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, build_cpu_time: 0.1416, build_memory: 178714734.4, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.4657, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, build_cpu_time: 0.088, build_memory: 226240019.2, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 28.9414, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8164, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, build_cpu_time: 0.0496, build_memory: 1408753932, f_measure: 0.75, kappa: 0.5, kb_relative_information_score: 28.3999, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7501, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8271, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, build_cpu_time: 0.0224, build_memory: 1727917684.8, f_measure: 0.7494, kappa: 0.5, kb_relative_information_score: 29.0709, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7525, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8411, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, build_cpu_time: 0.0059, build_memory: 1157727376.8, f_measure: 0.7033, kappa: 0.42, kb_relative_information_score: 22.7625, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.71, prior_entropy: 1, recall: 0.71, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 3.9239, build_memory: 1649093496, f_measure: 0.7399, kappa: 0.48, kb_relative_information_score: 19.2961, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7404, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.8437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8709, scimark_benchmark: 910.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, build_cpu_time: 2.223, build_memory: 928197347.2, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 19.0976, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8725, scimark_benchmark: 932.0523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, build_cpu_time: 2.1656, build_memory: 706992526.4, f_measure: 0.7298, kappa: 0.46, kb_relative_information_score: 19.0976, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7308, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8725, scimark_benchmark: 886.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.3019, build_memory: 2352976038.4, f_measure: 0.7396, kappa: 0.48, kb_relative_information_score: 18.9017, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8758, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, build_cpu_time: 0.2538, build_memory: 906824878.4, f_measure: 0.7396, kappa: 0.48, kb_relative_information_score: 18.9017, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.7415, predictive_accuracy: 0.74, prior_entropy: 1, recall: 0.74, relative_absolute_error: 0.8459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.8758, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, build_cpu_time: 0.0063, build_memory: 518689698.4, f_measure: 0.4792, kb_relative_information_score: 1.0121, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.063, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.527, build_cpu_time: 0.0052, build_memory: 479438632, f_measure: 0.4792, kb_relative_information_score: 1.0121, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.063, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, build_cpu_time: 0.0164, build_memory: 602756683.2, f_measure: 0.5423, kappa: 0.1, kb_relative_information_score: 4.0667, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5536, predictive_accuracy: 0.55, prior_entropy: 1, recall: 0.55, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0143, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, build_cpu_time: 0.0331, build_memory: 583017768, f_measure: 0.5308, kappa: 0.08, kb_relative_information_score: 3.5598, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.5434, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078, scimark_benchmark: 932.7461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, build_cpu_time: 0.0765, build_memory: 2633872783.2, f_measure: 0.7999, kappa: 0.6, kb_relative_information_score: 36.1502, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.5, number_of_instances: 100, precision: 0.8005, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.7961, scimark_benchmark: 941.9402,
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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