Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 15541 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.798, kappa: 0.5929, kb_relative_information_score: 0.3764, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.798, predictive_accuracy: 0.7982, prior_entropy: 0.9948, recall: 0.7982, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7956, kappa: 0.5878, kb_relative_information_score: 0.3748, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9948, recall: 0.7958, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7647, kappa: 0.5252, kb_relative_information_score: 0.3867, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7656, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7266, f_measure: 0.7359, kappa: 0.4677, kb_relative_information_score: 0.4497, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7527, kappa: 0.5015, kb_relative_information_score: 0.387, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7877, kappa: 0.5717, kb_relative_information_score: 0.5728, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7887, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.4869, kappa: 0.1071, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6878, predictive_accuracy: 0.5862, prior_entropy: 0.9948, recall: 0.5862, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6432, root_relative_squared_error: 1.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.4869, kappa: 0.1071, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6878, predictive_accuracy: 0.5862, prior_entropy: 0.9948, recall: 0.5862, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6432, root_relative_squared_error: 1.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.55, f_measure: 0.4869, kappa: 0.1071, kb_relative_information_score: 0.1639, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6878, predictive_accuracy: 0.5862, prior_entropy: 0.9948, recall: 0.5862, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6432, root_relative_squared_error: 1.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.528, kappa: 0.049, kb_relative_information_score: 0.0465, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5279, predictive_accuracy: 0.5281, prior_entropy: 0.9948, recall: 0.5281, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6869, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7082, kappa: 0.4118, kb_relative_information_score: 0.4106, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.528, kappa: 0.049, kb_relative_information_score: 0.0465, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5279, predictive_accuracy: 0.5281, prior_entropy: 0.9948, recall: 0.5281, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6869, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7082, kappa: 0.4118, kb_relative_information_score: 0.4106, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7057, f_measure: 0.7082, kappa: 0.4118, kb_relative_information_score: 0.4106, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.708, predictive_accuracy: 0.7083, prior_entropy: 0.9948, recall: 0.7083, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.3968, kappa: 0.0149, kb_relative_information_score: 0.0874, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6946, predictive_accuracy: 0.5484, prior_entropy: 0.9948, recall: 0.5484, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.672, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.3968, kappa: 0.0149, kb_relative_information_score: 0.0874, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6946, predictive_accuracy: 0.5484, prior_entropy: 0.9948, recall: 0.5484, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.672, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.3968, kappa: 0.0149, kb_relative_information_score: 0.0874, mean_absolute_error: 0.4516, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6946, predictive_accuracy: 0.5484, prior_entropy: 0.9948, recall: 0.5484, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.672, root_relative_squared_error: 1.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5276, kappa: 0.048, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5274, predictive_accuracy: 0.5279, prior_entropy: 0.9948, recall: 0.5279, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5276, kappa: 0.048, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5274, predictive_accuracy: 0.5279, prior_entropy: 0.9948, recall: 0.5279, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.524, f_measure: 0.5276, kappa: 0.048, kb_relative_information_score: 0.0459, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5274, predictive_accuracy: 0.5279, prior_entropy: 0.9948, recall: 0.5279, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7525, kappa: 0.5008, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7361, kappa: 0.4679, kb_relative_information_score: 0.4672, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.736, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7525, kappa: 0.5008, kb_relative_information_score: 0.5006, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7525, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7361, kappa: 0.4679, kb_relative_information_score: 0.4672, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.736, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7361, kappa: 0.4679, kb_relative_information_score: 0.4672, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.736, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7825, kappa: 0.5612, kb_relative_information_score: 0.562, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7825, kappa: 0.5612, kb_relative_information_score: 0.562, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.7825, kappa: 0.5612, kb_relative_information_score: 0.562, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7832, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.3873, kappa: 0.0063, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 0.0761, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.075, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7337, kappa: 0.4633, kb_relative_information_score: 0.4624, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7337, kappa: 0.4633, kb_relative_information_score: 0.4624, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7337, kappa: 0.4633, kb_relative_information_score: 0.4624, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7336, predictive_accuracy: 0.7339, prior_entropy: 0.9948, recall: 0.7339, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7606, kappa: 0.5172, kb_relative_information_score: 0.5173, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7606, kappa: 0.5172, kb_relative_information_score: 0.5173, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7606, kappa: 0.5172, kb_relative_information_score: 0.5173, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 0.4834, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.722, kappa: 0.4411, kb_relative_information_score: 0.4376, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7229, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0589,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7623, kappa: 0.5205, kb_relative_information_score: 0.5211, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7623, kappa: 0.5205, kb_relative_information_score: 0.5211, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.763, prior_entropy: 0.9948, recall: 0.763, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7267, kappa: 0.4506, kb_relative_information_score: 0.4586, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7267, kappa: 0.4506, kb_relative_information_score: 0.4586, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7321, prior_entropy: 0.9948, recall: 0.7321, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.4705, kappa: 0.09, kb_relative_information_score: 0.1499, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.5793, prior_entropy: 0.9948, recall: 0.5793, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.4705, kappa: 0.09, kb_relative_information_score: 0.1499, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.5793, prior_entropy: 0.9948, recall: 0.5793, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6486, root_relative_squared_error: 1.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7543, kappa: 0.5043, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.7543, kappa: 0.5043, kb_relative_information_score: 0.5065, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.407, kappa: 0.0242, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.5521, prior_entropy: 0.9948, recall: 0.5521, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.407, kappa: 0.0242, kb_relative_information_score: 0.0949, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6799, predictive_accuracy: 0.5521, prior_entropy: 0.9948, recall: 0.5521, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6692, root_relative_squared_error: 1.3433,

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