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OpenML
Task
Supervised Classification on fri_c3_250_10

Supervised Classification on fri_c3_250_10

Task 3658 Supervised Classification fri_c3_250_10 564 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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: 0.738, f_measure: 0.696, kappa: 0.3881, kb_relative_information_score: 70.5724, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.696, predictive_accuracy: 0.696, prior_entropy: 0.9955, recall: 0.696, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9263, scimark_benchmark: 854.5188, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, f_measure: 0.5328, kappa: 0.173, kb_relative_information_score: 32.0057, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6408, predictive_accuracy: 0.568, prior_entropy: 0.9955, recall: 0.568, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3188, scimark_benchmark: 1304.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3787, kb_relative_information_score: 17.8777, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3608, scimark_benchmark: 887.6719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.6237, kappa: 0.2422, kb_relative_information_score: 60.2619, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6235, predictive_accuracy: 0.624, prior_entropy: 0.9955, recall: 0.624, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2303, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.6415, kappa: 0.2774, kb_relative_information_score: 41.0776, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9955, recall: 0.644, relative_absolute_error: 0.8532, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9379, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6523, kappa: 0.3009, kb_relative_information_score: 74.3899, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6528, predictive_accuracy: 0.652, prior_entropy: 0.9955, recall: 0.652, relative_absolute_error: 0.7004, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1836, scimark_benchmark: 942.9518, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6603, kappa: 0.3169, kb_relative_information_score: 48.8773, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 0.9955, recall: 0.66, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9266, scimark_benchmark: 918.6005, usercpu_time_millis: 1510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8398, kappa: 0.6771, kb_relative_information_score: 153.5527, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9955, recall: 0.84, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7115, scimark_benchmark: 1372.2145, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 155.0207, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.561, scimark_benchmark: 825.5282, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.8635, kappa: 0.7248, kb_relative_information_score: 181.3596, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8648, predictive_accuracy: 0.864, prior_entropy: 0.9955, recall: 0.864, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7399, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8316, kappa: 0.6605, kb_relative_information_score: 142.0586, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9955, recall: 0.832, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7409, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 164.3653, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7081, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8598, kappa: 0.7177, kb_relative_information_score: 164.3653, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7081, scimark_benchmark: 1330.2678, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.8194, kappa: 0.636, kb_relative_information_score: 159.1584, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8513, scimark_benchmark: 1341.5768, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.3468, kappa: -0.0027, kb_relative_information_score: -20.47, mean_absolute_error: 0.536, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.4971, predictive_accuracy: 0.464, prior_entropy: 0.9955, recall: 0.464, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.7321, root_relative_squared_error: 1.4689, scimark_benchmark: 1361.1055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8674, kappa: 0.7328, kb_relative_information_score: 176.8138, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8692, predictive_accuracy: 0.868, prior_entropy: 0.9955, recall: 0.868, relative_absolute_error: 0.3008, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6943, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.8192, kappa: 0.6356, kb_relative_information_score: 159.1584, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8206, predictive_accuracy: 0.82, prior_entropy: 0.9955, recall: 0.82, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8513, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.8478, kappa: 0.6933, kb_relative_information_score: 173.2865, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9955, recall: 0.848, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7823, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.3787, kb_relative_information_score: -0.0764, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.2916, predictive_accuracy: 0.54, prior_entropy: 0.9955, recall: 0.54, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0002, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8441, kappa: 0.6866, kb_relative_information_score: 167.4986, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8445, predictive_accuracy: 0.844, prior_entropy: 0.9955, recall: 0.844, relative_absolute_error: 0.3351, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7532, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6475, kappa: 0.2896, kb_relative_information_score: 60.4497, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6472, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0655, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6465, f_measure: 0.6394, kappa: 0.2735, kb_relative_information_score: 41.2977, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.6392, predictive_accuracy: 0.64, prior_entropy: 0.9955, recall: 0.64, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0172, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 923.7642, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.908, kappa: 0.8147, kb_relative_information_score: 200.4579, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.584, scimark_benchmark: 936.6206, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.912, kappa: 0.8229, kb_relative_information_score: 202.0471, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.9955, recall: 0.912, relative_absolute_error: 0.194, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5603, scimark_benchmark: 938.2848, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8881, kappa: 0.7748, kb_relative_information_score: 190.4568, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8882, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6042, scimark_benchmark: 942.1229, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.876, kappa: 0.7506, kb_relative_information_score: 173.8975, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.668, scimark_benchmark: 922.9039, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8277, kappa: 0.6527, kb_relative_information_score: 138.2036, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9955, recall: 0.828, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7914, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 199.8267, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.2052, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5571, scimark_benchmark: 936.6206, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9039, kappa: 0.8063, kb_relative_information_score: 195.0295, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5414, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9078, kappa: 0.8142, kb_relative_information_score: 185.9693, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.533, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8958, kappa: 0.7901, kb_relative_information_score: 172.4424, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9955, recall: 0.896, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5566, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, build_cpu_time: 0.1599, build_memory: 291902941.6, f_measure: 0.852, kappa: 0.7019, kb_relative_information_score: 173.7436, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9955, recall: 0.852, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7696, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, build_cpu_time: 0.0726, build_memory: 1504227499.2, f_measure: 0.8596, kappa: 0.7169, kb_relative_information_score: 180.628, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8605, predictive_accuracy: 0.86, prior_entropy: 0.9955, recall: 0.86, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.718, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, build_cpu_time: 0.0446, build_memory: 992950116.8, f_measure: 0.8679, kappa: 0.7338, kb_relative_information_score: 186.9787, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9955, recall: 0.868, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.669, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.015, build_memory: 1512512219.2, f_measure: 0.8518, kappa: 0.7015, kb_relative_information_score: 176.5444, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9955, recall: 0.852, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7158, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, build_cpu_time: 0.0076, build_memory: 377468129.6, f_measure: 0.8718, kappa: 0.7417, kb_relative_information_score: 173.4576, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9955, recall: 0.872, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6965, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0105, build_memory: 1044834439.2, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0106, build_memory: 660042796, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0128, build_memory: 1659571524.8, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0117, build_memory: 743992434.4, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, build_cpu_time: 0.0132, build_memory: 3230117436.8, f_measure: 0.6471, kappa: 0.2887, kb_relative_information_score: 45.8233, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.647, predictive_accuracy: 0.648, prior_entropy: 0.9955, recall: 0.648, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9732, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, build_cpu_time: 4.0323, build_memory: 20583685.6, f_measure: 0.8478, kappa: 0.6933, kb_relative_information_score: 167.1694, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9955, recall: 0.848, relative_absolute_error: 0.3374, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6956, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, build_cpu_time: 7.8363, build_memory: 893756316.8, f_measure: 0.876, kappa: 0.7502, kb_relative_information_score: 181.374, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.672, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 15.9595, build_memory: 1159160200, f_measure: 0.8755, kappa: 0.7489, kb_relative_information_score: 186.0876, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8773, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6739, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 63.1726, build_memory: 23237297.6, f_measure: 0.8876, kappa: 0.7734, kb_relative_information_score: 193.9625, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.889, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6564, scimark_benchmark: 934.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 19.3782, build_memory: 265819179.2, f_measure: 0.9039, kappa: 0.8063, kb_relative_information_score: 201.6803, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9042, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6188, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, build_cpu_time: 9.5362, build_memory: 1099995192, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 203.5256, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6086, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, build_cpu_time: 5.2818, build_memory: 141752364, f_measure: 0.8878, kappa: 0.774, kb_relative_information_score: 194.4156, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.2212, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.657, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, build_cpu_time: 2.261, build_memory: 1489858496, f_measure: 0.8877, kappa: 0.7737, kb_relative_information_score: 192.7014, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.9955, recall: 0.888, relative_absolute_error: 0.229, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6517, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, build_cpu_time: 1.1491, build_memory: 824020353.6, f_measure: 0.8757, kappa: 0.7496, kb_relative_information_score: 189.511, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9955, recall: 0.876, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6577, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, build_cpu_time: 0.2046, build_memory: 1004058140, f_measure: 0.8796, kappa: 0.7572, kb_relative_information_score: 191.7302, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.881, predictive_accuracy: 0.88, prior_entropy: 0.9955, recall: 0.88, relative_absolute_error: 0.2314, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6348, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, build_cpu_time: 0.3966, build_memory: 48894880.8, f_measure: 0.9076, kappa: 0.8137, kb_relative_information_score: 200.9892, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9096, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.6055, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, build_cpu_time: 0.8721, build_memory: 272436264, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 202.8963, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6047, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, build_cpu_time: 1.5171, build_memory: 180333660.8, f_measure: 0.9078, kappa: 0.8142, kb_relative_information_score: 203.2299, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9084, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6091, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, build_cpu_time: 3.6177, build_memory: 247633525.6, f_measure: 0.9038, kappa: 0.806, kb_relative_information_score: 201.9059, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9046, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6162, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, build_cpu_time: 0.5699, build_memory: 785733693.6, f_measure: 0.9039, kappa: 0.8065, kb_relative_information_score: 201.8349, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9955, recall: 0.904, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6007, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, build_cpu_time: 0.51, build_memory: 873954950.4, f_measure: 0.9079, kappa: 0.8145, kb_relative_information_score: 201.8904, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4968, number_of_instances: 250, precision: 0.9081, predictive_accuracy: 0.908, prior_entropy: 0.9955, recall: 0.908, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4984, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5987, scimark_benchmark: 902.712,

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