Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.4086, kappa: 0.0225, kb_relative_information_score: 0.0928, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6352, predictive_accuracy: 0.5511, prior_entropy: 0.9948, recall: 0.5511, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7063, kappa: 0.4129, kb_relative_information_score: 0.4246, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.726, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6567, kappa: 0.3287, kb_relative_information_score: 0.3508, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7063, predictive_accuracy: 0.6788, prior_entropy: 0.9948, recall: 0.6788, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5668, root_relative_squared_error: 1.1376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7717, kappa: 0.5393, kb_relative_information_score: 0.5405, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7649, kappa: 0.5257, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.4064, kappa: 0.0215, kb_relative_information_score: 0.0923, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6477, predictive_accuracy: 0.5508, prior_entropy: 0.9948, recall: 0.5508, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3453,
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: 0.7017, f_measure: 0.7063, kappa: 0.4129, kb_relative_information_score: 0.4246, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.726, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.4086, kappa: 0.0225, kb_relative_information_score: 0.0928, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6352, predictive_accuracy: 0.5511, prior_entropy: 0.9948, recall: 0.5511, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7758, kappa: 0.5478, kb_relative_information_score: 0.548, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.4064, kappa: 0.0215, kb_relative_information_score: 0.0923, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6477, predictive_accuracy: 0.5508, prior_entropy: 0.9948, recall: 0.5508, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.7717, kappa: 0.5393, kb_relative_information_score: 0.5405, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7725, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7379, kappa: 0.4719, kb_relative_information_score: 0.4704, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0275,
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: 0.51, f_measure: 0.4064, kappa: 0.0215, kb_relative_information_score: 0.0923, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6477, predictive_accuracy: 0.5508, prior_entropy: 0.9948, recall: 0.5508, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6702, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6983, f_measure: 0.7009, kappa: 0.3971, kb_relative_information_score: 0.3961, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7008, predictive_accuracy: 0.7011, prior_entropy: 0.9948, recall: 0.7011, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.0973,
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: 0.7358, f_measure: 0.7379, kappa: 0.4719, kb_relative_information_score: 0.4704, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7414, kappa: 0.4782, kb_relative_information_score: 0.4796, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7421, predictive_accuracy: 0.7425, prior_entropy: 0.9948, recall: 0.7425, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 0.5372, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7709, predictive_accuracy: 0.771, prior_entropy: 0.9948, recall: 0.771, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.777, kappa: 0.55, kb_relative_information_score: 0.5512, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7649, kappa: 0.5257, kb_relative_information_score: 0.5265, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7758, kappa: 0.5478, kb_relative_information_score: 0.548, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5201, kappa: 0.0331, kb_relative_information_score: 0.0303, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.52, predictive_accuracy: 0.5201, prior_entropy: 0.9948, recall: 0.5201, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6927, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.6445, kappa: 0.2835, kb_relative_information_score: 0.2819, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6443, predictive_accuracy: 0.6446, prior_entropy: 0.9948, recall: 0.6446, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5961, root_relative_squared_error: 1.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4978, kappa: -0.0115, kb_relative_information_score: -0.015, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.4979, predictive_accuracy: 0.4977, prior_entropy: 0.9948, recall: 0.4977, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7087, root_relative_squared_error: 1.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.777, kappa: 0.55, kb_relative_information_score: 0.5512, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.772, kappa: 0.54, kb_relative_information_score: 0.541, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7727, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9566,
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: 0.6399, f_measure: 0.6425, kappa: 0.2798, kb_relative_information_score: 0.2776, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6425, predictive_accuracy: 0.6425, prior_entropy: 0.9948, recall: 0.6425, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5979, root_relative_squared_error: 1.2001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7379, kappa: 0.4719, kb_relative_information_score: 0.4704, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7379, prior_entropy: 0.9948, recall: 0.7379, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7223, kappa: 0.4398, kb_relative_information_score: 0.4403, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7224, predictive_accuracy: 0.723, prior_entropy: 0.9948, recall: 0.723, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0564,
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: 0.7433, f_measure: 0.7457, kappa: 0.4874, kb_relative_information_score: 0.4866, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4978, kappa: -0.0115, kb_relative_information_score: -0.015, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.4979, predictive_accuracy: 0.4977, prior_entropy: 0.9948, recall: 0.4977, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7087, root_relative_squared_error: 1.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5201, kappa: 0.0331, kb_relative_information_score: 0.0303, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.52, predictive_accuracy: 0.5201, prior_entropy: 0.9948, recall: 0.5201, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6927, root_relative_squared_error: 1.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3819, kappa: 0.0006, kb_relative_information_score: 0.0755, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5425, prior_entropy: 0.9948, recall: 0.5425, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6764, root_relative_squared_error: 1.3576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7779, kappa: 0.5523, kb_relative_information_score: 0.5518, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7779, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.4468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9453,
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: 0.5, 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: 0.7509, f_measure: 0.7536, kappa: 0.5031, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
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: 0.735, f_measure: 0.7373, kappa: 0.4705, kb_relative_information_score: 0.4694, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0286,
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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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.7791, kappa: 0.5542, kb_relative_information_score: 0.5556, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7802, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9413,
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: 0.6879, f_measure: 0.6923, kappa: 0.3793, kb_relative_information_score: 0.3832, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6943, predictive_accuracy: 0.6947, prior_entropy: 0.9948, recall: 0.6947, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.7758, kappa: 0.5477, kb_relative_information_score: 0.548, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.776, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.6923, kappa: 0.3793, kb_relative_information_score: 0.3832, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6943, predictive_accuracy: 0.6947, prior_entropy: 0.9948, recall: 0.6947, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5581, kappa: 0.1863, kb_relative_information_score: 0.2285, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.679, predictive_accuracy: 0.6182, prior_entropy: 0.9948, recall: 0.6182, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6179, root_relative_squared_error: 1.2402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.499, kappa: -0.0077, kb_relative_information_score: -0.0133, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.4997, predictive_accuracy: 0.4985, prior_entropy: 0.9948, recall: 0.4985, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.7081, root_relative_squared_error: 1.4214,

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