OpenML
Supervised Classification on fri_c1_100_10

Supervised Classification on fri_c1_100_10

Task 3654 Supervised Classification fri_c1_100_10 764 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: 0.4578, build_cpu_time: 0.0001, build_memory: 729057408, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, build_cpu_time: 0.0004, build_memory: 281265302.4, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.3731, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.944, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, build_cpu_time: 0.0962, build_memory: 398285556, f_measure: 0.5897, kappa: 0.1839, kb_relative_information_score: 15.8953, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5952, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0149, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, build_cpu_time: 0.0903, build_memory: 269703524, f_measure: 0.5897, kappa: 0.1839, kb_relative_information_score: 15.8953, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5952, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0149, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, build_cpu_time: 0.0732, build_memory: 46295198.4, f_measure: 0.5897, kappa: 0.1839, kb_relative_information_score: 15.8953, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5952, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0149, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, build_cpu_time: 0.051, build_memory: 627768730.4, f_measure: 0.6502, kappa: 0.3017, kb_relative_information_score: 22.5308, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6536, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0474, scimark_benchmark: 916.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, build_cpu_time: 0.0945, build_memory: 517778430.4, f_measure: 0.6503, kappa: 0.3, kb_relative_information_score: 24.7581, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6518, predictive_accuracy: 0.65, prior_entropy: 0.9975, recall: 0.65, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0198, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, build_cpu_time: 0.1934, build_memory: 1024310352, f_measure: 0.64, kappa: 0.2774, kb_relative_information_score: 23.4188, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0246, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, build_cpu_time: 0.1893, build_memory: 1810231572.8, f_measure: 0.64, kappa: 0.2774, kb_relative_information_score: 23.4188, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0246, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, build_cpu_time: 0.6624, build_memory: 1347374148, f_measure: 0.629, kappa: 0.2546, kb_relative_information_score: 24.7871, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6291, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0107, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, build_cpu_time: 0.0791, build_memory: 2639170592, f_measure: 0.8082, kappa: 0.6154, kb_relative_information_score: 41.2614, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7584, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, build_cpu_time: 0.0446, build_memory: 546033568.8, f_measure: 0.8179, kappa: 0.6352, kb_relative_information_score: 41.8795, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8268, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.759, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, build_cpu_time: 0.0434, build_memory: 85691533.6, f_measure: 0.8179, kappa: 0.6352, kb_relative_information_score: 41.8795, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8268, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.759, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, build_cpu_time: 0.0209, build_memory: 1997631092, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 42.1659, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7576, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, build_cpu_time: 0.0111, build_memory: 782808299.2, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 41.1596, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7683, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 0.0044, build_memory: 588847099.2, f_measure: 0.8201, kappa: 0.6404, kb_relative_information_score: 44.406, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8229, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.759, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, build_cpu_time: 0.0084, build_memory: 1111604501.6, f_measure: 0.8401, kappa: 0.6796, kb_relative_information_score: 45.6466, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8409, predictive_accuracy: 0.84, prior_entropy: 0.9975, recall: 0.84, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.73, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 0.0168, build_memory: 419752644.8, f_measure: 0.86, kappa: 0.719, kb_relative_information_score: 45.0102, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9975, recall: 0.86, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7253, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 0.0594, build_memory: 1048430853.6, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 45.4238, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7099, scimark_benchmark: 930.3171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 2.7748, build_memory: 2378231815.2, f_measure: 0.8095, kappa: 0.6172, kb_relative_information_score: 41.1607, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7349, scimark_benchmark: 902.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, build_cpu_time: 0.7469, build_memory: 1148727567.2, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 40.988, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7344, scimark_benchmark: 914.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.4335, build_memory: 138574530.4, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 40.2587, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7418, scimark_benchmark: 940.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, build_cpu_time: 0.3436, build_memory: 792241952, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 40.2587, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7418, scimark_benchmark: 934.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, build_cpu_time: 0.1704, build_memory: 1310135479.2, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 39.9358, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7437, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, build_cpu_time: 0.0023, build_memory: 1238929625.6, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 47.5256, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8408, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0082, build_memory: 226214132, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 47.1346, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7934, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 0.0059, build_memory: 1220338909.6, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 47.1346, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7934, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, build_cpu_time: 0.0148, build_memory: 77673532, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 47.423, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7879, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, build_cpu_time: 0.0235, build_memory: 1451259177.6, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 47.9076, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7837, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, build_cpu_time: 0.027, build_memory: 822607738.4, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 47.9076, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7837, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, build_cpu_time: 0.0734, build_memory: 426569383.2, f_measure: 0.7791, kappa: 0.5563, kb_relative_information_score: 39.9469, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7808, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7522, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 0.0373, build_memory: 242033753.6, f_measure: 0.8501, kappa: 0.7, kb_relative_information_score: 39.17, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8518, predictive_accuracy: 0.85, prior_entropy: 0.9975, recall: 0.85, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7556, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, build_cpu_time: 0.0247, build_memory: 364232629.6, f_measure: 0.8501, kappa: 0.7, kb_relative_information_score: 39.17, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8518, predictive_accuracy: 0.85, prior_entropy: 0.9975, recall: 0.85, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7556, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, build_cpu_time: 0.0432, build_memory: 1260547866.4, f_measure: 0.6995, kappa: 0.3964, kb_relative_information_score: 28.0338, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6996, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9211, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, build_cpu_time: 0.0142, build_memory: 65064284.8, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 15.0234, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.994, scimark_benchmark: 946.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, build_cpu_time: 0.0143, build_memory: 69581524, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 15.0234, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.994, scimark_benchmark: 889.0295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, build_cpu_time: 0.0126, build_memory: 148155285.6, f_measure: 0.5877, kappa: 0.1721, kb_relative_information_score: 15.0234, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.994, scimark_benchmark: 947.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, build_cpu_time: 10.594, build_memory: 387027010.4, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 25.6855, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9227, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, build_cpu_time: 20.0665, build_memory: 205856054.4, f_measure: 0.72, kappa: 0.438, kb_relative_information_score: 25.3175, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9219, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, build_cpu_time: 0.0165, build_memory: 1473730960.8, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 31.8208, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8375, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0096, build_memory: 1213021544.8, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 31.2651, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8414, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, build_cpu_time: 0.0051, build_memory: 804655558.4, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 31.0504, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8416, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, build_cpu_time: 0.074, build_memory: 2132737744.8, f_measure: 0.5604, kappa: 0.1189, kb_relative_information_score: 17.2088, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5612, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1111, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 0.0021, build_memory: 511475520, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 30.5413, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.847, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, build_cpu_time: 0.002, build_memory: 230151732.8, f_measure: 0.7602, kappa: 0.5194, kb_relative_information_score: 30.5413, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.761, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.847, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0011, build_memory: 265711771.2, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 29.909, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8451, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.2814, build_memory: 1813102359.2, f_measure: 0.7, kappa: 0.3978, kb_relative_information_score: 41.4824, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7907, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, build_cpu_time: 0.9123, build_memory: 358137132.8, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 41.7928, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7682, scimark_benchmark: 876.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 1.0183, build_memory: 1803646184, f_measure: 0.7985, kappa: 0.5956, kb_relative_information_score: 42.255, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.803, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7556, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, build_cpu_time: 2.1182, build_memory: 81261846.4, f_measure: 0.7784, kappa: 0.5552, kb_relative_information_score: 41.4806, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7825, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7659, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 3.9323, build_memory: 1144729941.6, f_measure: 0.7881, kappa: 0.5749, kb_relative_information_score: 42.6507, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7941, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7549, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, build_cpu_time: 0.6475, build_memory: 977016132, f_measure: 0.8197, kappa: 0.6378, kb_relative_information_score: 63.7746, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9975, recall: 0.82, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.85, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, build_cpu_time: 0.3937, build_memory: 1204772945.6, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 55.7774, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9395, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, build_cpu_time: 0.2048, build_memory: 1576951272.8, f_measure: 0.78, kappa: 0.5584, kb_relative_information_score: 56.7601, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.78, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.4311, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9216, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.1326, build_memory: 62663856.8, f_measure: 0.8101, kappa: 0.6191, kb_relative_information_score: 61.3508, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8104, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3869, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8666, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, build_cpu_time: 0.0635, build_memory: 356537698.4, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 59.3325, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.4063, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8624, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, build_cpu_time: 0.1651, build_memory: 3846574524, f_measure: 0.7967, kappa: 0.5937, kb_relative_information_score: 44.8401, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8103, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7468, scimark_benchmark: 943.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 0.2882, build_memory: 676832676.8, f_measure: 0.8082, kappa: 0.6154, kb_relative_information_score: 45.3845, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7383, scimark_benchmark: 936.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.1271, build_memory: 973615628.8, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 48.5763, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7277, scimark_benchmark: 942.7346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, build_cpu_time: 0.0938, build_memory: 918816196, f_measure: 0.7992, kappa: 0.5966, kb_relative_information_score: 48.5763, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.801, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7277, scimark_benchmark: 881.2396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, build_cpu_time: 0.0725, build_memory: 1179009646.4, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 47.9427, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7361, scimark_benchmark: 939.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, build_cpu_time: 0.0389, build_memory: 581663944, f_measure: 0.7894, kappa: 0.577, kb_relative_information_score: 48.7804, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7309, scimark_benchmark: 943.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, build_cpu_time: 0.0186, build_memory: 433627028.8, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 47.6362, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7464, scimark_benchmark: 944.0589,

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