Task
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 113054 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6271, kappa: 0.2554, kb_relative_information_score: 65.6246, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6286, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.3357, kappa: -0.0036, kb_relative_information_score: 22.6872, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4162, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5009, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4945, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5001, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4647, f_measure: 0.3784, kappa: -0.0324, kb_relative_information_score: -0.9515, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4496, predictive_accuracy: 0.4838, prior_entropy: 1, recall: 0.4838, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7607, kappa: 0.5288, kb_relative_information_score: 201.6609, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7817, predictive_accuracy: 0.7644, prior_entropy: 1, recall: 0.7644, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5008, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5016, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, kb_relative_information_score: 37.8381, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -4, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7096, root_relative_squared_error: 1.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.4913, kappa: 0.0324, kb_relative_information_score: 1.5928, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5201, predictive_accuracy: 0.5162, prior_entropy: 1, recall: 0.5162, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7506, kappa: 0.5036, kb_relative_information_score: 199.4449, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7566, predictive_accuracy: 0.7518, prior_entropy: 1, recall: 0.7518, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0124, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6721, kappa: 0.3453, kb_relative_information_score: 129.2699, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.674, predictive_accuracy: 0.6727, prior_entropy: 1, recall: 0.6727, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5001, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0044, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5011, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0145, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5008, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -4, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7096, root_relative_squared_error: 1.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0303, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5009, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5046, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5026, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.5755, kappa: 0.1547, kb_relative_information_score: 32.6659, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5787, predictive_accuracy: 0.5773, prior_entropy: 1, recall: 0.5773, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.0123, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4433, f_measure: 0.4725, kappa: -0.054, kb_relative_information_score: -2.7344, mean_absolute_error: 0.5018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4729, predictive_accuracy: 0.473, prior_entropy: 1, recall: 0.473, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.3978, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9495, kappa: 0.8993, kb_relative_information_score: 342.0509, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9542, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, kb_relative_information_score: -2.0412, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5002, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4139, f_measure: 0.3957, kappa: -0.1331, kb_relative_information_score: -3.7129, mean_absolute_error: 0.5024, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4113, predictive_accuracy: 0.4335, prior_entropy: 1, recall: 0.4335, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6187, kappa: 0.2374, kb_relative_information_score: 51.0949, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6187, predictive_accuracy: 0.6187, prior_entropy: 1, recall: 0.6187, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5314, root_relative_squared_error: 1.0628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5075, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4945, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5072, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.4992, kb_relative_information_score: 0.0844, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0128, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5001, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, f_measure: 0.4796, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5109, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: -0.0119, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5013, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 344.3314, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9513, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4945, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5007, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0094, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5006, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.6849, kappa: 0.3705, kb_relative_information_score: 77.0952, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6861, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5028, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0365, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5004, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0114, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5168, root_relative_squared_error: 1.0336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6395, f_measure: 0.504, kappa: 0.1763, kb_relative_information_score: 33.8425, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7742, predictive_accuracy: 0.5881, prior_entropy: 1, recall: 0.5881, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5027, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7005, kappa: 0.4065, kb_relative_information_score: 130.0176, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7109, predictive_accuracy: 0.7032, prior_entropy: 1, recall: 0.7032, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0427, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8647, kappa: 0.7302, kb_relative_information_score: 340.9745, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8691, predictive_accuracy: 0.8651, prior_entropy: 1, recall: 0.8651, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.54, kappa: 0.0863, kb_relative_information_score: 9.303, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5444, predictive_accuracy: 0.5432, prior_entropy: 1, recall: 0.5432, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5011, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: -0.169, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5004, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 379.6186, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5039, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5002, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, kb_relative_information_score: -0.5821, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.54, root_relative_squared_error: 1.0799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6626, f_measure: 0.5885, kappa: 0.2014, kb_relative_information_score: 101.3883, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6144, predictive_accuracy: 0.6007, prior_entropy: 1, recall: 0.6007, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5118, root_relative_squared_error: 1.0237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7068, kappa: 0.4568, kb_relative_information_score: 108.2574, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.824, predictive_accuracy: 0.7284, prior_entropy: 1, recall: 0.7284, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5149, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5198, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5921, root_relative_squared_error: 1.1842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0104, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.0148, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, kb_relative_information_score: -0.0237, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0119, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5213, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0058, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 91.2142, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0002, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5149, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5015, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8435, kappa: 0.6942, kb_relative_information_score: 272.5457, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8829, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0146, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 180.3781, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.416, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5014, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 86.2253, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5157, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4945, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.42, kappa: 0.0216, kb_relative_information_score: 0.7581, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5289, predictive_accuracy: 0.5108, prior_entropy: 1, recall: 0.5108, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0242, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4363, f_measure: 0.4181, kappa: -0.0576, kb_relative_information_score: -0.7705, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4547, predictive_accuracy: 0.4712, prior_entropy: 1, recall: 0.4712, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4945, kb_relative_information_score: -0.0008, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, 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: 0.501, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0133, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, 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: 0.5003, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7472, kappa: 0.5216, kb_relative_information_score: 195.1773, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8324, predictive_accuracy: 0.7608, prior_entropy: 1, recall: 0.7608, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7847,

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